diff --git a/app/Main.py b/app/Main.py index bdfe0c32..c3cb5e9f 100644 --- a/app/Main.py +++ b/app/Main.py @@ -69,12 +69,12 @@ def get_username(user_id: int): response = requests.get(url) - if response.status_code == 200: + try: user_data = response.json()[0] username = user_data['username'] return username - else: - return None + except: + return @st.cache_data @@ -83,14 +83,14 @@ def get_beatmap_metadata(beatmap_id: int): response = requests.get(url) - if response.status_code == 200: - user_data = response.json()[0] - map_metadata = f"{user_data['artist']} - " \ - f"{user_data['title']} (" \ - f"{user_data['creator']}) [" \ - f"{user_data['version']}]" + try: + map_data = response.json()[0] + map_metadata = f"{map_data['artist']} - " \ + f"{map_data['title']} (" \ + f"{map_data['creator']}) [" \ + f"{map_data['version']}]" return map_metadata - else: + except: return None @@ -101,27 +101,9 @@ def get_beatmap_metadata(beatmap_id: int): net = get_model() with st.sidebar: - st.header(":game_die: Metrics") - st.markdown(""" - ![R2](https://img.shields.io/badge/R%20Squared-71.88%25-blueviolet) - ![MAE](https://img.shields.io/badge/MAE-1.14%25-blue) - ![RMSE](https://img.shields.io/badge/RMSE-1.68%25-blue) - ![Model Size](https://img.shields.io/github/size/Eve-ning/opal/opal/models/V2_2023_04/model.ckpt) + st.info(""" + **Judgements are out of 320, thus we underestimate.**\n\nSee FAQ (2) for more info """) - st.header(":bookmark: Requirements") - st.markdown(""" - 1) Only osu!mania. - - The user must be: - 1) ranked <10K in 1st Apr 2023 - 2) active in that predicted year - - The map must be: - 1) ranked or loved - 2) played often enough - """) - st.warning(":warning: Players and Maps that **barely** meet these may have incorrect predictions") - st.write("---") st.header(":wave: Hey! [Try AlphaOsu!](https://alphaosu.keytoix.vip/)") st.caption("AlphaOsu is a pp recommender system with a website UI. ") st.caption("Opal doesn't require monetary support, but they do. " @@ -130,118 +112,112 @@ def get_beatmap_metadata(beatmap_id: int): st.markdown(f"""

-Opal +Opal\n

AI Score Predictor by -Evening - + Evening + ![Twitter](https://img.shields.io/badge/-dev__evening-blue?logo=twitter) - -![Repo](https://img.shields.io/badge/GitHub-opal-success?logo=github) +![Repo](https://img.shields.io/badge/Repository-purple?logo=github) ![Predictions](https://img.shields.io/badge/Predictions-{db_pred.get().to_dict()['count']:,}-yellow?logo=firebase)

""", unsafe_allow_html=True) -st.info(""" -:grey_exclamation: **We weigh judgments out of 320, thus we usually underestimate.** See FAQ (2) for more info -""") - -left, right = st.columns(2) -with left: - st.button("Get Random Player", on_click=random_uid) - uid = st.text_input("User ID", key='uid', placeholder="2193881") -with right: - st.button("Get Random Map", on_click=random_mid) - mid = st.text_input("Map ID", key='mid', placeholder="767046") - -try: - uid = int(uid) - mid = int(mid) -except: - st.stop() -username = get_username(uid) -map_metadata = get_beatmap_metadata(mid) - -preds = [] -years = range(MODEL_YEAR - YEARS_SEARCH, MODEL_YEAR + 1) -speeds = {-1: 'HT', 0: 'NT', 1: 'DT'} -for speed, speed_txt in speeds.items(): - for year in years: - uid_ = f"{uid}/{year}" - mid_ = f"{mid}/{speed}" - if uid_ in net.uid_le.classes_: - pred = predict(uid_, mid_) - if pred: - preds.append([year, speed_txt, pred]) - -df_pred = pd.DataFrame(preds, columns=['year', 'speed', 'pred']) - -df_pred_last = df_pred[df_pred['year'] == df_pred['year'].max()] -if not df_pred_last.empty: - year_last = list(df_pred_last['year'])[0] -else: - year_last = "??" +with st.container(): + left, right = st.columns(2) + with left: + st.button("Get Random Player", on_click=random_uid) + uid = st.text_input("User ID", key='uid', placeholder="2193881") + with right: + st.button("Get Random Map", on_click=random_mid) + mid = st.text_input("Map ID", key='mid', placeholder="767046") -st.markdown(f""" -
-If {username} -played -{map_metadata} in {year_last} -
-""", unsafe_allow_html=True) + try: + uid = int(uid) + username = get_username(uid) + + mid = int(mid) + map_metadata = get_beatmap_metadata(mid) + left.markdown(f"{username}", + unsafe_allow_html=True) + right.markdown(f"{map_metadata}", + unsafe_allow_html=True) + except: + st.stop() + +# Prediction Logic +with st.container(): + years = range(MODEL_YEAR - YEARS_SEARCH, MODEL_YEAR + 1) + speeds = {-1: 'HT', 0: 'NT', 1: 'DT'} + + preds = [] + + for speed, speed_txt in speeds.items(): + for year in years: + uid_ = f"{uid}/{year}" + mid_ = f"{mid}/{speed}" + if uid_ in net.uid_le.classes_ and mid_ in net.mid_le.classes_: + pred = predict(uid_, mid_) + if pred: + preds.append([year, speed_txt, pred]) + + df_pred = pd.DataFrame(preds, columns=['year', 'speed', 'pred']) + df_pred_last = df_pred[df_pred['year'] == df_pred['year'].max()] + + pred_ht = df_pred_last.loc[(df_pred_last['speed'] == 'HT'), 'pred'] + pred_nt = df_pred_last.loc[(df_pred_last['speed'] == 'NT'), 'pred'] + pred_dt = df_pred_last.loc[(df_pred_last['speed'] == 'DT'), 'pred'] + + pred_ht = float(pred_ht.iloc[0]) if pred_ht.any() else None + pred_nt = float(pred_nt.iloc[0]) if pred_nt.any() else None + pred_dt = float(pred_dt.iloc[0]) if pred_dt.any() else None + + c1, c2, c3 = st.columns(3) + + if pred_ht: + delta_ht = pred_ht - pred_nt + c1.metric(f"{':warning:' if delta_ht < 0 else ''} " + f"HT", f"{pred_ht:.2%}", + delta=f"{delta_ht:.2%}") + else: + c1.warning(":warning: No Prediction") -pred_ht = df_pred_last.loc[(df_pred_last['speed'] == 'HT'), 'pred'] -pred_nt = df_pred_last.loc[(df_pred_last['speed'] == 'NT'), 'pred'] -pred_dt = df_pred_last.loc[(df_pred_last['speed'] == 'DT'), 'pred'] - -pred_ht = float(pred_ht.iloc[0]) if pred_ht.any() else None -pred_nt = float(pred_nt.iloc[0]) if pred_nt.any() else None -pred_dt = float(pred_dt.iloc[0]) if pred_dt.any() else None - -c1, c2, c3 = st.columns(3) - -st.markdown("---") - -if pred_ht: - delta_ht = pred_ht - pred_nt - c1.metric(f"{':warning:' if delta_ht < 0 else ''} " - f"HT", f"{pred_ht:.2%}", - delta=f"{delta_ht:.2%}") -else: - c1.warning(":warning: No Prediction") - -if pred_nt: - c2.metric(f"NT", f"{pred_nt:.2%}") -else: - c2.warning(":warning: No Prediction") - -if pred_dt: - delta_dt = pred_dt - pred_nt - c3.metric(f"{':warning:' if delta_dt > 0 else ''} " - f"DT", f"{pred_dt:.2%}", delta=f"{delta_dt:.2%}") -else: - c3.warning(":warning: No Prediction") - -add_analytics_count(len(df_pred)) - -chart = ( - alt - .Chart(df_pred) - .mark_line(point=True, size=1) - .encode( - alt.X('year:Q', - scale=alt.Scale(padding=1), - axis=alt.Axis(tickMinStep=1)), - alt.Y('pred:Q', - scale=alt.Scale(zero=False, padding=20, domainMax=1), - axis=alt.Axis(format='%')), - color='speed:O', + if pred_nt: + c2.metric(f"NT", f"{pred_nt:.2%}") + else: + c2.warning(":warning: No Prediction") + + if pred_dt: + delta_dt = pred_dt - pred_nt + c3.metric(f"{':warning:' if delta_dt > 0 else ''} " + f"DT", f"{pred_dt:.2%}", delta=f"{delta_dt:.2%}") + else: + c3.warning(":warning: No Prediction") + + add_analytics_count(len(df_pred)) + +# Chart Logic +with st.container(): + chart = ( + alt + .Chart(df_pred) + .mark_line(point=True, size=1) + .encode( + alt.X('year:Q', + scale=alt.Scale(padding=1), + axis=alt.Axis(tickMinStep=1), + title="Year"), + alt.Y('pred:Q', + scale=alt.Scale(zero=False, padding=20, domainMax=1), + axis=alt.Axis(format='%'), + title="Predicted Accuracy"), + color='speed:O' + ) ) -) -st.altair_chart(chart, use_container_width=True) -st.markdown('---') + st.altair_chart(chart, use_container_width=True) + st.caption(f"You can support me by adding a :star2: on the " f"GitHub Page. " diff --git a/app/pages/1_FAQ.py b/app/pages/1_Info.py similarity index 79% rename from app/pages/1_FAQ.py rename to app/pages/1_Info.py index b4ce4d96..442d6fbc 100644 --- a/app/pages/1_FAQ.py +++ b/app/pages/1_Info.py @@ -1,9 +1,42 @@ import pandas as pd import streamlit as st -st.set_page_config("FAQ", page_icon=":question:") +st.set_page_config("Info", page_icon=":question:") -st.title("FAQ") +st.title("Info") + +r2 = 0.7376 +mae = 0.0109 +rmse = 0.0162 +version = "May%202023" +st.header(":game_die: Metrics") +st.markdown(f""" +![R2](https://img.shields.io/badge/R2-{r2:.2%}-blueviolet) +![MAE](https://img.shields.io/badge/MAE-{mae:.2%}-blue) +![RMSE](https://img.shields.io/badge/RMSE-{rmse:.2%}-blue) +![Version](https://img.shields.io/badge/V3-{version}-purple) +![Model Size](https://img.shields.io/github/size/Eve-ning/opal/opal/models/V3_2023_05/model.ckpt) +""") + +st.header(":bookmark: Requirements") + + +st.markdown(""" +- Only osu!mania. + +The user must be: +- ranked <10K in 1st Apr 2023 +- active in that predicted year + +The map must be: +- ranked or loved +- played often enough +- little in SVs +- \>2.0 SR +""") + +st.warning(":warning: Players and Maps that **barely** meet these may have incorrect predictions") +st.header(":question: FAQ") c1, c2 = st.columns([2, 3]) with c1: @@ -95,4 +128,4 @@ It doesn't have to be professionally written! Just keep your issue short and to the point o wo)b If you're unsure, feel free to ping me on [Twitter](https://twitter.com/dev_evening). - """) \ No newline at end of file + """) diff --git a/opal/conf/conf.py b/opal/conf/conf.py index fd6e606a..9528228a 100644 --- a/opal/conf/conf.py +++ b/opal/conf/conf.py @@ -6,4 +6,4 @@ DATA_DIR = ROOT_DIR / "data/" MODEL_DIR = PKG_DIR / "models/" -MODEL_CKPT = MODEL_DIR / "V2_2023_04/model.ckpt" +MODEL_CKPT = MODEL_DIR / "V3_2023_05/model.ckpt" diff --git a/opal/datamodule/db_io.py b/opal/datamodule/db_io.py new file mode 100644 index 00000000..d5390004 --- /dev/null +++ b/opal/datamodule/db_io.py @@ -0,0 +1,239 @@ +import os +from pathlib import Path + +import numpy as np +import pandas as pd +from reamber.algorithms.analysis import scroll_speed +from reamber.osu import OsuMap +from sqlalchemy import create_engine, text +from tqdm import tqdm + +mysql_pw = os.environ['mysql_pw'] + + +class DB: + mysql_engine = create_engine(f'mysql+mysqlconnector://osu:{mysql_pw}@localhost:3306/osu') + + def __init__( + self, + osu_files_path: Path, + min_active_map: int = 50, + min_active_user: int = 50, + accuracy_bounds: tuple[float, float] = (0.85, 1.0), + sr_bounds: tuple[float, float] = (2.5, 15), + keys: tuple[int] = (4, 7), + visual_complexity_limit: float = 0.05, + regen_tables: bool = False, + ): + """ Initializes a database instance to interact with MySQL + + Args: + min_active_map: Minimum number of scores for a beatmap to be included + min_active_user: Minimum number of scores for a user to be included + keys: Tuple of keys to include + accuracy_bounds: The lower and upper bound of accuracies to include + sr_bounds: The lower and upper bound of star ratings to include + visual_complexity_limit: The upper limit of visual complexity. Ranges [0, 1) + regen_tables: Whether to regenerate the auxiliary opal MySQL tables. + Will automatically be set to true if they don't exist. + """ + + self.visual_complexity_limit = visual_complexity_limit + + # Check if last table is generated + if self.get_table("opal_beatmaps_visual_complexity") is None: + regen_tables = True + + if regen_tables: + con = self.mysql_engine.connect() + pbar = tqdm(total=6, desc="Initializating Temporary Tables...") + + pbar.update() + con.execute(text("DROP TABLE IF EXISTS opal_beatmaps")) + con.execute(text(f""" + CREATE TABLE + opal_beatmaps ( + SELECT beatmap_id mid + FROM osu_beatmaps b + WHERE (b.playmode = 3) + AND (b.diff_size IN {keys}) + AND (b.difficultyrating BETWEEN {sr_bounds[0]} AND {sr_bounds[1]}) + ); + """)) + + pbar.update() + con.execute(text("DROP TABLE IF EXISTS opal_scores")) + con.execute(text(f""" + CREATE TABLE + opal_scores (SELECT s.score_id sid, + s.beatmap_id mid, + s.speed speed, + s.accuracy_320 accuracy, + s.user_id uid, + YEAR(s.date) year + FROM osu_scores_mania_high_stats_view s + WHERE (s.accuracy_320 BETWEEN {accuracy_bounds[0]} AND {accuracy_bounds[1]})); + """)) + + pbar.update() + con.execute(text("DROP TABLE IF EXISTS opal_beatmap_scores")) + con.execute(text(""" + CREATE TABLE opal_beatmap_scores ( + sid INT NOT NULL, + mid INT NOT NULL, + speed INT NOT NULL, + uid INT NOT NULL, + accuracy FLOAT NOT NULL, + year INT NOT NULL, + UNIQUE INDEX idx_sid (sid), + INDEX idx_mid_speed (mid, speed), + INDEX idx_uid_year (uid, year) + ) SELECT s.sid sid, + b.mid mid, + s.speed speed, + s.uid uid, + s.accuracy accuracy, + s.year year + FROM opal_beatmaps b JOIN opal_scores s USING (mid); + """)) + + pbar.update() + con.execute(text("DROP TABLE IF EXISTS opal_active_mid")) + con.execute(text(f""" + CREATE TABLE opal_active_mid ( + mid INT, + speed INT, + INDEX idx_mid_speed (mid, speed) + ) SELECT mid, speed + FROM opal_beatmap_scores + GROUP BY mid, speed + HAVING COUNT(0) > {min_active_map}; + """)) + + pbar.update() + con.execute(text("DROP TABLE IF EXISTS opal_active_uid")) + con.execute(text(f""" + CREATE TABLE opal_active_uid ( + uid INT, + year INT, + INDEX idx_mid_speed (uid, year) + ) SELECT uid, year + FROM opal_beatmap_scores + GROUP BY uid, year + HAVING COUNT(0) > {min_active_user}; + """)) + + pbar.update() + pbar.close() + con.execute(text("DROP TABLE IF EXISTS opal_beatmaps_visual_complexity")) + self.create_osu_beatmaps_visual_complexity(osu_files_path) + con.close() + + def get_df_score(self) -> pd.DataFrame: + """ Get Data Frame for Relevant Scores + + Returns: + A DataFrame of: + - score_id Index: Unique Score IDs, as per osu!'s db + - uid: User ID + - year: Year of Play + - mid: Beatmap (Map) ID + - speed: Speed of map {-1, 0, 1} to indicate {HT, NT, DT} + - accuracy: Accuracy of play + - vc_ix: Visual Complexity + """ + con = self.mysql_engine.connect() + df_beatmap_scores = pd.read_sql_table("opal_beatmap_scores", con=con) + df_active_mid = pd.read_sql_table("opal_active_mid", con=con) + df_active_uid = pd.read_sql_table("opal_active_uid", con=con) + df_vc = pd.read_sql_table("opal_beatmaps_visual_complexity", con=con) + df_vc = df_vc.loc[df_vc['visual_complexity'] < self.visual_complexity_limit] + + return ( + df_beatmap_scores + .merge(df_active_mid, on=['mid', 'speed']) + .merge(df_active_uid, on=['uid', 'year']) + .merge(df_vc, on=['mid']) + ) + + def create_osu_beatmaps_visual_complexity( + self, + osu_files_path: Path, + ) -> pd.DataFrame: + """ Creates the Visual Complexity SQL Table within MySQL + + Args: + osu_files_path: Path to the osu files directory. + + Returns: + The beatmap visual complexity table. + """ + + # Pull the beatmap ids we're interested in + con = self.mysql_engine.connect() + mids = pd.read_sql_table("opal_active_mid", con=con)['mid'].unique() + + # Create the DF we'll populate with vc_ix + df = pd.DataFrame(dict(mid=mids)) + + def visual_complexity(x): + # Visual Complexity Equation + # Below 1.0, we use a simple x^2 + # Above 1.0, we do a sigmoid easing from 1 to 3 + # Otherwise, we set to 1.0 + return np.piecewise( + x, + [ + (0 <= x) * (x < 1), + (1 <= x) * (x < 3) + ], + [ + lambda x: (x - 1) ** 2, # x^2 0 to 1 + lambda x: np.sin((x - 2) * np.pi * 0.5) / 2 + 0.5, # Sigmoid Easing 1 to 3 + 1 # Otherwise + ] + ) + + def osu_visual_complexity(osu): + speed = scroll_speed(osu) + offsets = speed.index + + return np.sum( + # Evaluate the integral visual complexity w.r.t. time + (visual_complexity(speed.to_numpy()[:-1]) * np.diff(offsets)) / + # Take the proportional visual complexity + (offsets.max() - offsets.min()) + ) + + for mid in tqdm(mids, desc="Evaluating Visual Complexity of Maps..."): + # Get our osu map + osu_path = osu_files_path / f"{mid}.osu" + osu = OsuMap.read_file(osu_path) + + # Get visual_complexity + vc = osu_visual_complexity(osu) + + # Set the Visual Complexity to corresponding map + df.loc[df['mid'] == mid, 'visual_complexity'] = vc + + df = df.set_index('mid') + + # Send to sql + df.to_sql( + name="opal_beatmaps_visual_complexity", + con=self.mysql_engine, + if_exists='replace', + ) + con.close() + return df + + def get_table(self, table_name): + con = self.mysql_engine.connect() + try: + sql_table = pd.read_sql_table(table_name, con=con) + except ValueError: + sql_table = None + + con.close() + + return sql_table diff --git a/opal/datamodule/ignore_mapping.yaml b/opal/datamodule/ignore_mapping.yaml deleted file mode 100644 index 76a0a007..00000000 --- a/opal/datamodule/ignore_mapping.yaml +++ /dev/null @@ -1,92 +0,0 @@ -# This is the default ignore mapping. -# For every column that is NOT commented out, it'll be IGNORED when converting -# Try to ignore those that are not necessary for your use -# This will heavily reduce storage needed and increase processing speed -# Once you're done, reference this file when calling osu-data-csv via -# osu-data-csv -i path/to/ignore_mapping.yaml - -osu_beatmap_difficulty.sql: -# - beatmap_id -# - mode -# - mods -# - diff_unified - - last_update -osu_beatmaps.sql: -# - beatmap_id - - beatmapset_id - - user_id -# - filename - - checksum -# - version - - total_length - - hit_length -# - countTotal -# - countNormal -# - countSlider -# - countSpinner -# - diff_drain -# - diff_size -# - diff_overall -# - diff_approach -# - playmode -# - approved - - last_update -# - difficultyrating -# - playcount -# - passcount -# - youtube_preview -# - score_version -# - deleted_at - - bpm -osu_scores{mode}_high.sql: -# - score_id -# - beatmap_id -# - user_id -# - module - - maxcombo - - rank -# - count50 -# - count100 -# - count300 -# - countmiss -# - countgeki -# - countkatu - - perfect -# - enabled_mods -# - date -# - pp -# - replay - - hidden - - country_acronym -osu_user_stats{mode}.sql: -# - user_id - - count300 - - count100 - - count50 - - countMiss - - accuracy_total - - accuracy_count - - accuracy - - playcount - - ranked_score - - total_score - - x_rank_count - - xh_rank_count - - s_rank_count - - sh_rank_count - - a_rank_count - - rank - - level - - replay_popularity - - fail_count - - exit_count - - max_combo - - country_acronym -# - rank_score -# - rank_score_index - - rank_score_exp - - rank_score_index_exp - - accuracy_new - - last_update - - last_played - - total_seconds_played diff --git a/opal/datamodule/score_datamodule.py b/opal/datamodule/score_datamodule.py index 44e113aa..15413294 100644 --- a/opal/datamodule/score_datamodule.py +++ b/opal/datamodule/score_datamodule.py @@ -1,40 +1,37 @@ import logging -import numpy as np +from dataclasses import dataclass, field +from pathlib import Path +from typing import Sequence, Tuple + import pandas as pd import pytorch_lightning as pl import torch -from dataclasses import dataclass, field -from pathlib import Path from sklearn.base import TransformerMixin from sklearn.preprocessing import LabelEncoder, QuantileTransformer from torch.utils.data import DataLoader, TensorDataset, random_split -from typing import Sequence, Tuple -from opal.conf.conf import DATA_DIR -from opal.conf.mods import OsuMod -from osu_data_csv.main import get_dataset +from opal.datamodule.db_io import DB @dataclass class ScoreDataModule(pl.LightningDataModule): - ds_yyyy_mm: str = "2022_10" - ds_mode: str = "mania" - ds_set: str = "1000" - + osu_files_path: Path train_test_val: Sequence[float] = field(default_factory=lambda: (0.8, 0.1, 0.1)) - qt_accuracy: QuantileTransformer = QuantileTransformer(output_distribution="normal") + transformer: QuantileTransformer = QuantileTransformer(output_distribution='normal') batch_size: int = 32 + m_min_support: int = 50 u_min_support: int = 50 - score_bounds: Tuple[float, float] = (5e5, 1e6) - accuracy_bounds: Tuple[float, float] = (0.5, 1) + accuracy_bounds: Tuple[float, float] = (0.85, 1) + sr_bounds: Tuple[float, float] = (2.0, 15.0) keys: Tuple[int] = (4, 7) - sr_bounds: Tuple[float, float] = (2.5, 10.0) + visual_complexity_limit: float = 0.05 metric: str = 'accuracy' + regen_tables: bool = False limit_scores_read: int = None uid_le: LabelEncoder = field(default_factory=LabelEncoder, init=False) @@ -43,46 +40,30 @@ class ScoreDataModule(pl.LightningDataModule): def __post_init__(self): super().__init__() assert sum(self.train_test_val) == 1, "Train Test Validation must sum to 1." - self.prepare_data() self.setup() def prepare_data(self) -> None: - """ Downloads data via data_ppy_sh_to_csv submodule """ - get_dataset( - year_month=self.ds_yyyy_mm, - mode=self.ds_mode, - set=self.ds_set, - dl_dir=DATA_DIR, - bypass_confirm='Y', - cleanup='N', - ignore_path=(Path(__file__).parent / "ignore_mapping.yaml").as_posix() + self.db = DB( + osu_files_path=self.osu_files_path, + min_active_map=self.m_min_support, + min_active_user=self.u_min_support, + accuracy_bounds=self.accuracy_bounds, + visual_complexity_limit=self.visual_complexity_limit, + keys=self.keys, + regen_tables=self.regen_tables ) def setup(self, stage: str = "") -> None: - ds_str = f"{self.ds_yyyy_mm}_01_performance_{self.ds_mode}_top_{self.ds_set}" - - csv_dir = DATA_DIR / ds_str / "csv" - csv_score = csv_dir / "osu_scores_mania_high.csv" - csv_map = csv_dir / "osu_beatmaps.csv" - - logging.info("Preparing Metric DF") - df_metric = pd.read_csv(csv_score, nrows=self.limit_scores_read) - df_metric = self.prep_metric(df_metric, self.score_bounds, self.accuracy_bounds) - - logging.info("Preparing Map DF") - df_map = pd.read_csv(csv_map) - df_map = self.prep_map(df_map, self.keys, self.sr_bounds) - - logging.info("Merging") - df = pd.merge(df_map, df_metric, how='inner', on='beatmap_id') + logging.info("Querying from DB") + df = self.db.get_df_score().drop('visual_complexity', axis=1, errors='ignore') logging.info("Creating IDs") df = self.get_ids(df) - logging.info("Preparing merged DF") - df = self.drop_infrequent_ids(df, self.m_min_support, self.u_min_support) + logging.info("Scaling Metrics") - df = self.scale_metric(df, self.qt_accuracy, self.metric) + df = self.scale_metric(df, self.transformer, self.metric) + logging.info("Encoding Ids") df = self.encode_ids(df) self.df = df @@ -100,84 +81,15 @@ def setup(self, stage: str = "") -> None: self.train_ds, self.test_ds, self.val_ds = random_split(ds, (n_train, n_test, n_val)) - @staticmethod - def prep_metric(df: pd.DataFrame, - score_bounds: Tuple[float, float] = (5e5, 1e6), - accuracy_bounds: Tuple[float, float] = (0.5, 1)): - """ Prepares the Score (Metric) DF - - Notes: - Adjusts scores decreased by EASY, NO_FAIL & HALF_TIME - Adds Speed column based on speed: - - HALF_TIME: -1 - - No Mod: 0 - - DOUBLE_TIME: 1 - Adds Year column - """ - - df = df.dropna().astype({'enabled_mods': int}) - half_score = ( - ((df['enabled_mods'] & OsuMod.EASY) > 0) | - ((df['enabled_mods'] & OsuMod.NO_FAIL) > 0) | - ((df['enabled_mods'] & OsuMod.HALF_TIME) > 0) - ) - half_speed = (df['enabled_mods'] & OsuMod.HALF_TIME) > 0 - double_speed = (df['enabled_mods'] & OsuMod.DOUBLE_TIME) > 0 - - df = df.assign( - score=lambda x: x.score * np.where(half_score, 2, 1), - speed=0, - year=lambda x: x['date'].str[:4], - accuracy=lambda x: ( - ( - x.count50 * (50 / 320) + - x.count100 * (100 / 320) + - x.countkatu * (200 / 320) + - x.count300 * (300 / 320) + - x.countgeki * (320 / 320) - ) / ( - x.countmiss + - x.count50 + - x.count100 + - x.countkatu + - x.count300 + - x.countgeki - ) - ) - ).assign( - speed=lambda x: np.where(half_speed, -1, x.speed) - ).assign( - speed=lambda x: np.where(double_speed, 1, x.speed) - )[['user_id', 'beatmap_id', 'year', 'score', 'accuracy', 'speed']] - return df[df['score'].between(*score_bounds) & df['accuracy'].between(*accuracy_bounds)] - @staticmethod def scale_metric(df: pd.DataFrame, - scaler: TransformerMixin, + transformer: TransformerMixin, metric: str): """ Uses the scalers provided to scale the metric """ return df.assign( - **{metric: lambda x: scaler.fit_transform(x[[metric]].values)} + **{metric: lambda x: transformer.fit_transform(x[[metric]].values)} ) - @staticmethod - def prep_map(df: pd.DataFrame, - diff_sizes: Tuple[int] = (4, 7), - sr_bounds: Tuple[float, float] = (2.5, 10.0)): - """ Prepares the Map DF - - Notes: - Removes all non-mania maps - """ - - df = df.loc[ - (df['playmode'] == 3) & - (df['diff_size'].isin(diff_sizes)) & - (df['difficultyrating'].between(*sr_bounds)), - ['difficultyrating', 'diff_overall', 'diff_size', 'beatmap_id', 'filename'] - ] - return df - @staticmethod def get_ids(df: pd.DataFrame): """ Prepares the ids used in Collaborative Filtering Model @@ -188,24 +100,11 @@ def get_ids(df: pd.DataFrame): Label Encodes uid & mid. """ df = df.assign( - uid=lambda x: x.user_id.astype(str) + "/" + x.year, - mid=lambda x: x.beatmap_id.astype(str) + "/" + x.speed.astype(str) - ) # [['uid', 'mid', 'score', 'accuracy']] + uid=lambda x: x.uid.astype(str) + "/" + x.year.astype(str), + mid=lambda x: x.mid.astype(str) + "/" + x.speed.astype(str) + ).drop(['year', 'speed'], axis=1) return df - @staticmethod - def drop_infrequent_ids(df: pd.DataFrame, - m_min_support: int, - u_min_support: int): - """ Drops infrequent ids for maps and users. """ - m_freq = df['mid'].value_counts() - u_freq = df['uid'].value_counts() - return df.mask( - df['mid'].isin((m_freq[m_freq < m_min_support]).index) - ).mask( - df['uid'].isin((u_freq[u_freq < u_min_support]).index) - ).dropna() - def encode_ids(self, df: pd.DataFrame): """ Label Encode the ids """ return df.assign( diff --git a/opal/models/README.md b/opal/models/README.md index 20770778..95ab3572 100644 --- a/opal/models/README.md +++ b/opal/models/README.md @@ -1,3 +1,4 @@ + # Models **See below on how to load the model.** @@ -6,10 +7,7 @@ |------------|--------|-------|-------|--------------------------------| | V2_2023_01 | 81.48% | 1.18% | 1.71% | ![Error](V2_2023_01/error.png) | | V2_2023_04 | 71.88% | 1.14% | 1.68% | ![Error](V2_2023_04/error.png) | - -**Note: V1 is deprecated due to incompatibility with new model signature.** - -**Old notebooks may not be runnable** +| V3_2023_05 | 73.76% | 1.09% | 1.62% | ![Error](V3_2023_05/error.png) | ## Limitations @@ -17,6 +15,7 @@ The model cannot ... - predict maps not played by at least 50 players within the top 10k - predict players not in the top 10k - predict players who have not played at least 50 unique ranked maps in that year. +- predict maps with too many SVs The predictive power (i.e. accuracy) is dependent on the number of players associated with each map. Thus, these will be less accurate @@ -28,10 +27,9 @@ Thus, these will be less accurate ## Loading ```python -from opal.module.collaborative_filtering import NeuMF -import pytorch_lightning as pl +from opal import OpalNet -net = NeuMF.load_from_checkpoint("path/to/model/checkpoint.ckpt") +net = OpalNet.load_from_checkpoint("path/to/model/checkpoint.ckpt") net.eval() # Prevent gradient updates. USER_ID = 12345 YEAR = 2020 @@ -40,3 +38,19 @@ SPEED = 0 # 0: Normal Time, -1: Half Time, 1: Double Time pred_acc = net.predict(f"{USER_ID}/{YEAR}", f"{MAP_ID}/{SPEED}") ``` +## History + +V1 & V2 are deprecated due to model signature updates. + +### V1 +V1 is the very first model deployed. + +### V2 + +- Reduces model size such that it fits in a GitHub blob +- Decouples model from datamodule such that it's loadable separately + +### V3 + +- Remove maps with high presence of SVs. +- Migrate datamodule to use MySQL database instead of csv. diff --git a/opal/models/V3_2023_05/analysis.ipynb b/opal/models/V3_2023_05/analysis.ipynb new file mode 100644 index 00000000..cdf6b137 --- /dev/null +++ b/opal/models/V3_2023_05/analysis.ipynb @@ -0,0 +1,4607 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Performance Analysis of Model\n", + "\n", + "This notebook will guide through my performance analysis of the model.\n", + "\n", + "We'll target a few questions:\n", + "- How well does the model perform?\n", + "- What assumptions are made?\n", + "- What does the model perform better on? What about the poor ones?" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Preparation\n", + "\n", + "As usual, we'll load relevant libraries and ...\n", + "- Load our test data\n", + "- Load our model" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "start_time": "2023-05-14T17:22:21.920691Z", + "end_time": "2023-05-14T17:23:17.642464Z" + } + }, + "outputs": [], + "source": [ + "from pathlib import Path\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import pandas as pd\n", + "import pytorch_lightning as pl\n", + "\n", + "from opal import OpalNet\n", + "from opal.datamodule import ScoreDataModule\n", + "\n", + "dm = ScoreDataModule(\n", + " osu_files_path=Path(r\"D:\\osu!db\\2023_05_01_osu_files\\2023_05_01_osu_files\\\\\"),\n", + " batch_size=64,\n", + " accuracy_bounds=(0.85, 1),\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "start_time": "2023-05-14T17:23:17.644468Z", + "end_time": "2023-05-14T17:23:17.782468Z" + } + }, + "outputs": [], + "source": [ + "net = OpalNet.load_from_checkpoint(\"model.ckpt\")" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "outputs": [ + { + "data": { + "text/plain": "OpalNet(\n (model): OpalNetModule(\n (u_mf_emb): Embedding(32238, 8)\n (m_mf_emb): Embedding(12875, 8)\n (mf_net): Sequential(\n (0): OpalNetBlock(\n (net): Sequential(\n (0): Linear(in_features=8, out_features=8, bias=True)\n (1): ReLU()\n (2): Dropout(p=0.1, inplace=False)\n )\n )\n (1): OpalNetBlock(\n (net): Sequential(\n (0): Linear(in_features=8, out_features=8, bias=True)\n (1): ReLU()\n (2): Dropout(p=0.1, inplace=False)\n )\n )\n )\n (u_mlp_emb): Embedding(32238, 8)\n (m_mlp_emb): Embedding(12875, 8)\n (mlp_net): Sequential(\n (0): OpalNetBlock(\n (net): Sequential(\n (0): Linear(in_features=16, out_features=128, bias=True)\n (1): ReLU()\n (2): Dropout(p=0.1, inplace=False)\n )\n )\n (1): OpalNetBlock(\n (net): Sequential(\n (0): Linear(in_features=128, out_features=64, bias=True)\n (1): ReLU()\n (2): Dropout(p=0.1, inplace=False)\n )\n )\n (2): OpalNetBlock(\n (net): Sequential(\n (0): Linear(in_features=64, out_features=32, bias=True)\n (1): ReLU()\n (2): Dropout(p=0.1, inplace=False)\n )\n )\n (3): OpalNetBlock(\n (net): Sequential(\n (0): Linear(in_features=32, out_features=8, bias=True)\n (1): ReLU()\n (2): Dropout(p=0.1, inplace=False)\n )\n )\n )\n (neu_mf_net): Sequential(\n (0): Linear(in_features=16, out_features=1, bias=True)\n (1): Tanh()\n )\n )\n (loss): MSELoss()\n)" + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "net" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "start_time": "2023-05-14T17:23:17.783469Z", + "end_time": "2023-05-14T17:23:17.797976Z" + } + } + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "ExecuteTime": { + "start_time": "2023-05-14T17:23:17.800492Z", + "end_time": "2023-05-14T17:23:17.831237Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "GPU available: True (cuda), used: True\n", + "TPU available: False, using: 0 TPU cores\n", + "IPU available: False, using: 0 IPUs\n", + "HPU available: False, using: 0 HPUs\n" + ] + } + ], + "source": [ + "trainer = pl.Trainer(accelerator='gpu', limit_predict_batches=1024)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Predicting\n", + "We'll use our validation data to predict." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "You are using a CUDA device ('NVIDIA GeForce RTX 3060 Laptop GPU') that has Tensor Cores. To properly utilize them, you should set `torch.set_float32_matmul_precision('medium' | 'high')` which will trade-off precision for performance. For more details, read https://pytorch.org/docs/stable/generated/torch.set_float32_matmul_precision.html#torch.set_float32_matmul_precision\n", + "LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\pytorch_lightning\\trainer\\connectors\\data_connector.py:430: PossibleUserWarning: The dataloader, predict_dataloader, does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` (try 16 which is the number of cpus on this machine) in the `DataLoader` init to improve performance.\n", + " rank_zero_warn(\n" + ] + }, + { + "data": { + "text/plain": "Predicting: 0it [00:00, ?it/s]", + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "62ae1b0b9b514702b084dc8fb825aec2" + } + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\sklearn\\preprocessing\\_label.py:155: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n", + " y = column_or_1d(y, warn=True)\n" + ] + } + ], + "source": [ + "y = trainer.predict(net, dataloaders=dm.test_dataloader())" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "start_time": "2023-05-14T17:23:17.830228Z", + "end_time": "2023-05-14T17:23:25.805808Z" + } + } + }, + { + "cell_type": "code", + "execution_count": 19, + "outputs": [], + "source": [ + "y_preds = []\n", + "y_trues = []\n", + "x_uid_reals = []\n", + "x_mid_reals = []\n", + "for x_uid_real, x_mid_real, y_pred, y_true in y:\n", + " x_uid_reals.append(x_uid_real)\n", + " x_mid_reals.append(x_mid_real)\n", + " y_preds.append(y_pred)\n", + " y_trues.append(y_true)\n", + "y_preds = np.concatenate(y_preds).flatten()\n", + "y_trues = np.concatenate(y_trues).flatten()\n", + "x_uid_reals = np.concatenate(x_uid_reals).flatten()\n", + "x_mid_reals = np.concatenate(x_mid_reals).flatten()" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "start_time": "2023-05-14T17:23:25.719589Z", + "end_time": "2023-05-14T17:23:25.805808Z" + } + } + }, + { + "cell_type": "code", + "execution_count": 20, + "outputs": [], + "source": [ + "df = pd.DataFrame(\n", + " data=dict(\n", + " y_preds=y_preds,\n", + " y_trues=y_trues,\n", + " x_uid_reals=x_uid_reals,\n", + " x_mid_reals=x_mid_reals,\n", + " )\n", + ")" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "start_time": "2023-05-14T17:23:25.734116Z", + "end_time": "2023-05-14T17:23:25.806807Z" + } + } + }, + { + "cell_type": "code", + "execution_count": 21, + "outputs": [], + "source": [ + "df['error'] = np.abs(df.y_preds - df.y_trues)\n", + "df = df.sort_values('error')" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "start_time": "2023-05-14T17:23:25.750688Z", + "end_time": "2023-05-14T17:23:25.806807Z" + } + } + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Analysis\n", + "\n", + "We'll firstly do some quick viz to get an intuition of the data" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "ExecuteTime": { + "start_time": "2023-05-14T17:23:25.768206Z", + "end_time": "2023-05-14T17:23:28.244785Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": "
", + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import seaborn as sns\n", + "import matplotlib.ticker as mtick\n", + "\n", + "plt.rcParams.update({'font.size': 14})\n", + "plt.figure(figsize=(10, 10))\n", + "plt.suptitle(\"Overview of Predictions and Actual Accuracies\")\n", + "\n", + "ax1 = plt.subplot(221)\n", + "sns.lineplot(x=[0.85, 1], y=[0.85, 1], color='gray')\n", + "sns.scatterplot(x=y_trues, y=y_preds, s=8, c=np.abs(y_trues - y_preds),\n", + " cmap='magma')\n", + "plt.gca().xaxis.set_major_formatter(mtick.PercentFormatter(decimals=0, xmax=1))\n", + "plt.gca().yaxis.set_major_formatter(mtick.PercentFormatter(decimals=0, xmax=1))\n", + "plt.title(\"Predictions against Actual\")\n", + "plt.xlabel(\"Actual Accuracy\")\n", + "plt.ylabel(\"Predicted Accuracy\")\n", + "\n", + "ax2 = plt.subplot(222)\n", + "ax2.sharex(ax1)\n", + "sns.histplot(x=y_trues, y=np.abs(y_preds - y_trues), bins=25)\n", + "plt.gca().xaxis.set_major_formatter(mtick.PercentFormatter(decimals=0, xmax=1))\n", + "plt.gca().yaxis.set_major_formatter(mtick.PercentFormatter(decimals=0, xmax=1))\n", + "plt.title(\"Prediction Error Heatmap\")\n", + "plt.xlabel(\"Actual Accuracy\")\n", + "plt.ylabel(\"Absolute Accuracy Prediction Error\")\n", + "\n", + "ax3 = plt.subplot(223)\n", + "ax3.sharex(ax1)\n", + "sns.histplot(x=y_preds, bins=25)\n", + "plt.gca().xaxis.set_major_formatter(mtick.PercentFormatter(decimals=0, xmax=1))\n", + "plt.title(\"Prediction Distribution\")\n", + "plt.xlabel(\"Predicted Accuracy\")\n", + "plt.ylabel(\"Frequency of Prediction\")\n", + "\n", + "ax4 = plt.subplot(224)\n", + "ax4.sharex(ax1)\n", + "sns.histplot(x=y_trues, bins=25)\n", + "plt.gca().xaxis.set_major_formatter(mtick.PercentFormatter(decimals=0, xmax=1))\n", + "plt.title(\"Actual Distribution\")\n", + "plt.xlabel(\"Actual Accuracy\")\n", + "plt.ylabel(\"Frequency of Actual\")\n", + "plt.tight_layout()\n", + "plt.savefig(\"overview.png\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Analysis of input\n", + "\n", + "We also have our `DataFrame` of input data, let's take a glance" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "ExecuteTime": { + "start_time": "2023-05-14T17:23:28.246789Z", + "end_time": "2023-05-14T17:23:28.417213Z" + } + }, + "outputs": [], + "source": [ + "df = dm.df" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "ExecuteTime": { + "start_time": "2023-05-14T17:23:28.272976Z", + "end_time": "2023-05-14T17:23:28.417213Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": " sid mid uid accuracy uid_le mid_le\n0 78599748 193128/0 3155787/2014 1.470702 22077 3358\n1 81140543 193128/0 1923091/2014 -0.054382 13991 3358\n2 83634543 193128/0 2842826/2014 1.036017 20978 3358\n3 83826802 193128/0 315646/2014 -0.106384 22082 3358\n4 83868856 193128/0 2125319/2014 0.440865 15584 3358", + "text/html": "
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sidmiduidaccuracyuid_lemid_le
078599748193128/03155787/20141.470702220773358
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483868856193128/02125319/20140.440865155843358
\n
" + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We see 6 columns, the first 2 are `str` columns, for `LabelEncoder` to encode, the result is the last 2.\n", + "\n", + "E.g.\n", + "\n", + "`uid=U/YYYY` means the user, with user id `U`, with the score in year `YYYY`.\n", + "\n", + "`mid=M/S` means the map, with beatmap id `M` with speed of map `S`.\n", + "- `S=1`: Double Time\n", + "- `S=0`: Normal Time\n", + "- `S=-1`: Half Time\n", + "\n", + "Note that our accuracies are quantile transformed." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Performance of Model\n", + "\n", + "Now, let's figure out how well the model performed on the prediction." + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "ExecuteTime": { + "start_time": "2023-05-14T17:23:28.280004Z", + "end_time": "2023-05-14T17:23:28.417213Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "R2: 0.7375698658234254\n", + "MAE: 0.010936668\n", + "RMSE: 0.016192321831984244\n" + ] + } + ], + "source": [ + "from sklearn.metrics import r2_score\n", + "\n", + "print(\"R2:\", r2_score(y_true, y_pred))\n", + "print(\"MAE:\", np.abs(y_preds - y_trues).mean())\n", + "print(\"RMSE:\", ((y_preds - y_trues) ** 2).mean() ** 0.5)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Sort of tells us that the general error is around 1%, which is acceptable.\n", + "\n", + "Let's find out the errors of each percentage" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "ExecuteTime": { + "start_time": "2023-05-14T17:23:28.296529Z", + "end_time": "2023-05-14T17:23:28.730008Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\johnc\\AppData\\Local\\Temp\\ipykernel_13372\\3748057135.py:5: RuntimeWarning: Mean of empty slice.\n", + " return np.abs(y_preds - y_trues).mean(), ((y_preds - y_trues) ** 2).mean() ** 0.5\n", + "D:\\Repositories\\PycharmProjects\\opal\\venv\\lib\\site-packages\\numpy\\core\\_methods.py:192: RuntimeWarning: invalid value encountered in divide\n", + " ret = ret.dtype.type(ret / rcount)\n" + ] + }, + { + "data": { + "text/plain": "
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9e/disViO6JUMEBoayvfff/+rMZ6Mo712EhISeOmll44Yz8nJYc+ePaxfvx5ovPlcwxxHjBhx1KL5Aw88wAMPPPCrsTS8Zo/1/tGnTx98fHzIzMxk//79tGnT5oy/D4mIiMjxqRArIiIizdrDDz9My5YtT+naoKCgkz7esMr113p3xsbGsmXLliNWxBqNxiP6kgJMnDiR/fv38/nnnzN//nzmz5+PwWBwb0w1fvx4oqOjjz+hY2iIIyws7JhF69jYWACqq6spLi5u1Fv2eHk61uNFRUX96mOdCZmZmUD95kzt27c/oXN/6WhzbTjvww8/5MMPP/zVe2ZlZTX62mg04u/vf8R5DQVdl8v1q/fzhJN9/o6lYeOskpKSU8rt0TidThYtWsQ333xDSkoKGRkZ7sJrw2rXX+aoYTOwFi1aHPfeDeeGhoYet6exJxwrz3V1dSxbtowFCxawe/duDh06RHV1NcARq/Dh57hjYmJOOZaG/D/33HM899xzv3puVlYWbdq0OePvQyIiInJ8KsSKiIjIeetoRZBfOtpqtBMpnNXV1QFgs9mOeLyjPabJZOLpp5/mrrvuYvHixfz4449s3LiRXbt2sWvXLj744APefvtt+vfvf9zHPpqTiflocZ/sR9mPl9dftnPwtNraWqB+J/vjbQrWtm3bI8aONteGezZshvVr/rf4fLxcnA2n0oqgYc6/1PAaCQsLO+5r8UQKpYWFhUycOJGUlBTMZjMXXXQRo0aNIj4+ni5duvDTTz/x1ltvNbrml6tjj8cT7QZ+6ZffI0dztDzb7XZuv/121q5di8FgIDExkZEjR9K2bVuSkpLIzMzk8ccfb3TNyczxWBqevwEDBjT6T5WjafjPoTP9PiQiIiLHp0KsiIiIyC9ERkayb98+0tPTj1mQSE9PB+pX4p2MFi1aMHHiRCZOnEhdXR1bt27llVde4aeffuL5558/ob6bx4oZID8/n6qqqqOuim3ol+rj43PUj/Sf7OPt2bOHQ4cOHfX40XrnekrDXPv06cOjjz7q0Xs29DM9XzQUiY9WdC0pKTlirCEPoaGhR/24/cl69dVXSUlJoUOHDrz99ttHrLZcvHjxEddERESwf//+I1YeN9ixYwc7d+6kU6dO7vYPBQUFOByOo66K/fLLLzGZTPTv35+goCAMBgMul+uoRdyj5eR4PvzwQ9auXUt0dDRTp049osdqQw/b/50j/Nyz9X8dPHiQn376iYSEBLp3737UcyIjI9m/fz/XX3/9Mds4HMuZeh8SERGR49NmXSIiIiK/0K9fP6C+gHM0e/fuZceOHZjNZvr06XPc+9XV1TFp0iT69u3bqLhkNBrp2rUrkydPBk78o95HExUVRVxcHDU1NSxcuPCo5zQUV/r27XvKj9OgoUfqN998c9TjRyuweUpD/D/88MNRi2lOp5Px48fz29/+lnXr1p3UPY/VT7SkpIQrrriCG264gX379p1i5Gefj48PAHl5eUcc27hx4xFjnTt3xsfHh5SUlKNudAbwxBNPMHbsWKZNm3bcx2/I/9E+8l5bW8uPP/4INF6J2tBTdsmSJUe950cffcQjjzzCd999R0xMDC1atMDpdLJixYojzq2srORvf/sbf/zjH92brJ1sTo6nYY6XX375UTe6Wr58OXD0OS5duvSo95wzZw6PPfYYM2bMOObjHu81u3//fi699FImTpxIcXHxWXkfEhERkeNTIVZERETkF8aPH09AQABr167llVdeabSaMDMzkz/+8Y+4XC5GjRp1QitijUYjISEhFBcX8/zzz7t7R0J9cWbu3LlA/eZTp+P2228H4J///CcbNmxodOzrr7/mww8/xGAwcMstt5zW4wBcffXVhIeHs3LlSqZOndroWMOGYGdKr1696NGjBwcPHuTBBx9stIrR6XTyzDPPkJycTFpaGklJSSd0z8svv5zY2FjWrVvHc8891+g5qqysZPLkyezdu5fS0lLatGlzWvF7eXkBUFpaekavgZ83l5o5cyZFRUXu8fT0dF544YUjzrfZbO5Vkvfffz979+5tdHzWrFl8/vnn7Ny5k65dux738Rs+Mr906dJGRfPKykoeffRR9uzZA9R/vL/B+PHj8fHx4bvvvjuiELl06VIWLFiAzWZj3LhxANx6661Afa/U/fv3u891OBw8+eSTVFdXM3DgQHfLiYac/Oc//2lUHF2xYgWfffbZced0rDmuWrWKqqoq97jT6eSVV15xF4h/OccrrriCyMhItm/fziuvvNIoji1btvCf//wHg8HAhAkTjvm4EyZMICAggHnz5vHuu+82ep8qLCzkwQcfJD09HS8vL4KCgs7a+5CIiIj8OrUmEBERkWbt73//+zE3oPqlCRMm0KtXr9N+vJCQEF5//XXuvfde3n77bebNm0eXLl2oqKhg3bp12O12+vXrd0Tfx18zefJkNmzYwLfffsu6devo0qULFouF3bt3c/DgQYKCgnjooYdOK+7rrruOHTt28Omnn3LjjTfSrVs3oqKi2L9/P7t27cJsNvPII494pP9jYGAgL7/8Mr///e956aWXmDNnDgkJCaSmppKamkrPnj2PKAZ70iuvvMKkSZP4+uuvWbFiBZ06dcLX15ctW7aQl5eHj48Pb7311gm9bgCsVitvvvkmt99+Ox9//DFffvklnTp1wmQysWnTJkpKSggPD+eNN9447Z6wbdu2Zfny5bz++uusXbuWMWPGMGLECI9fA/Db3/6WTz/9lPT0dC677DJ69+5NeXk569evp2PHjiQmJrqLoQ3uu+8+UlJSWLx4MWPGjKFTp05ERkaSmprqLsz+7W9/o0uXLsd9/Ntvv50NGzawYsUKRo4cSadOnaisrGTTpk1UVFTQrl07UlNTKSwsdF8TGRnJSy+9xJ/+9Ccef/xxpk2bRnx8PBkZGWzduhWj0chTTz3l7lF70003kZyczIIFCxg1ahS9e/fG29ubbdu2kZOTQ4sWLXjmmWfc97/jjjvYsGEDixYtYuTIkXTs2JFDhw6xfft2rr32WmbOnHncef3SxIkTWbhwIbt372b48OF069aN2tpakpOTKSoqOuocvby8eP3117nzzjt5++233a+3/Px8Nm3aRF1dHX/4wx9+tSj6y/epl19+mU8++YSLLroIp9PJhg0bqKqqIj4+nueff959zdl4HxIREZFfp0KsiIiINGvH+ujt/7r44os9UogF6N+/P/Pnz+f9999nxYoVLFmyBF9fX7p27crVV1/N2LFjT2qDpMjISD7//HPeeecdVq1axU8//YTBYCA6OppbbrmF22+/3d038nQ88cQTDBo0iP/+978kJyezbds2IiIiGDduHDfffLN7NaAn9O3bl5kzZ/LOO+/w448/smTJEtq0acM//vEPrFbrGS3ERkVFMXPmTD755BMWLVrEli1bAIiOjnb3eT3eplv/q0OHDsyfP5///Oc/LF26lHXr1mE2m2nRogXXX389EydOPOmewEdz9913k5mZyapVq1i+fDlt27Y9blH1VK6B+tfdF198wZtvvsmqVatYtmwZ0dHR3Hnnndx1111MnDjxiGssFgtTpkxh/vz5zJ49m507d7J9+3YiIyO57LLLmDRpEj169DihuQ4dOpRp06bx9ttvs3v3bpYsWUJgYCDdu3dn/Pjx9OzZk0GDBrF582YKCwvdq0uHDx/OnDlzmDp1Kj/++CPff/89fn5+DB8+nDvvvLNRgdJgMPDSSy8xZMgQZsyYwdatW6muriY6OprbbruNu+++m8DAQPf5gwcP5qOPPuKdd94hOTmZZcuWER8fz9///neuvPLKky7EJiUl8cUXXzBlyhS2bNnCsmXL8PPzIyEhgTFjxjB69GgGDhxIRkYGu3fvpn379kD9ytN58+YxdepUli1bxpIlS7DZbPTr149JkyYxePDg4z52w/vUf/7zH1asWMGqVavw9vambdu2XH755Vx//fX4+fm5zz9b70MiIiJybAbXiWyzKyIiIiIiIiIiIiKnTD1iRURERERERERERM4wFWJFREREREREREREzjAVYkVERERERERERETOMBViRURERERERERERM4wFWJFREREREREREREzjAVYkVERERERERERETOMBViRURERERERERERM4wFWJFREREREREREREzjBzUwdwISgoKMPlauoozhyDAUJD/c/7eZ4NyqXnKJeeo1x6jnLpWcqn5yiXnqNceo5y6TnKpecol56jXHqW8uk5yqXnXCi5bJjniVAh9ixwuTivX3ANLpR5ng3Kpecol56jXHqOculZyqfnKJeeo1x6jnLpOcql5yiXnqNcepby6TnKpecolz9TawIRERERERERERGRM0yFWBEREREREREREZEzTIVYERERERERERERkTNMhVgRERERERERERGRM0yFWBEREREREREREZEzTIVYERERERERERERkTPM3NQBiIiIiIiIiIiInM9qa2uoq6tr6jDOKoMBqqurcToduFxNHc2JMxqNmExnpmSqQqycNmNJGrgsYIhp6lBERERERERERJqNqqoKKipKqalxNHUoTaKw0HhOFqDNZiu+vgF4e/t69r4evZtckIJm/AYcZQRG9qAq6Wbs7a4Cs3dThyUiIiIiIiIi0mSqqiooKcnHavUmKCgck8kEGJo6rLPKZDJQW3sOLYfFRW1tLZWV5ZSU5AN4tBirQqycNvtF4/He+jGWnI1YcjZSt/JJqjtcR3Wnm6gNbtfU4YmIiIiIiIiInHUVFaVYrd4EB4djMFxYBdgGZrORmppza0WsxQI2mzdFRXlUVJR6tBCrzbrktFUMfAr+vIOKfg9R6x+L0V6CT/J7hHw6hMC512FLmQ+1F+YSfBERERERERG58NTW1lBT48DHx++CLcKeywwGAz4+vtTUOKitrfHYfbUiVjzDL4KqXvdR2f0erAeX4bVtOta077Fm/IQ14yfqvMOovui3VHW6kbqAVk0drYiIiIiIiIjIGdPQF7W+HYGcixo27Kqrq8NTT6MKseJZRhOO1sNwtB6GsSwTrx2f4rXjv5gqc/DZOAXvjW/hbDWYqk4344gbDka9BEVERERERETkfKXVsOcuzz93qoLJGVPnH0Nl379Q2esPWNO+x3vbdKwHl2FN/wFr+g/U+kVT3fEGqi+aQJ1fdFOHKyIiIiIiIiIicsaoECtnnsmCo+3lONpejrF4P947PsVr5wxM5Vn4rn0Zn3Wv4mhzKVWdbsYZOxAMal0sIiIiIiIiIiLnFxVi5ayqC2pDxcV/o6LvX7DtXYjX9mlYM9dg2/cNtn3fUBvQmqpON1J90W9xeYc2dbgiIiIiIiIiIiIeoaWH0jRMNuyJYym5ehaF1y+hsstt1FkDMJWm4ffT84R+2Bv/b+/FkrkaXK6mjlZEREREREREROS0qBArTa42JJGKgU9TMGkDZUNfwhnRFUOdA6+UeQTNuZbg/w7DO/l9DPaSpg5VRERERERERETklKgQK82HxZvqjhMovu4riq77mqqON+Aye2MuSsFv5ROEftgTv8UPYM7ZpFWyIiIiIiIiIiJyTlGPWGmWaiK6UB7xAhUXP4ptzxy8t32MuXA33rtm4L1rBs6wJKqTbqI64Wqw+jZ1uCIiIiIiIiIicth9991JSUkxTzzxNG+++Trbt2/FbLYwYMBA/vCHv5CTk82UKa+ybdsWfHx8GTBgIPfe+wd8ff0AOHgwnU8++YgNG9aRn5+HyWQiNrYVV101lmuuGd/oscrKyvjoo/dZtmwpeXk5BAYG0rfvxdx2211ERUU1xfSPqdkVYh9++GFmz5591GN///vfGTdu3DGvra2tZdq0acyYMYOMjAzCwsIYNWoU99xzD15eXu7zXC4Xr776Kp999hlGo5GRI0cyefJkfHx8Gt3vhRde4IcffmDBggWYTCbPTFBOissWQHXnW6hOmog5ewPe26dhS/0SS/42LD88hO+qZ7G3H0dVp5uoDevY1OGKiIiIiIiIiByXy+WiuqauqcM4Ji+zEYPBcFr3KCgo4N5772bEiJEMHTqCn35ayTfffEVOTjapqSkMH14/vmrVcubPn4PRaOQvf3mYzMwM7rhjIjabF2PGjCMiIoL8/HwWLJjLK6+8gMlkYuzYawAoLS3lnntuIzs7i1GjxhIX15aMjEPMnTuLH39cwdtv/4eWLWM9kRKPaHaF2F27dhEbG8v//d//HXGsR48ev3rtU089xYwZM7jsssuYOHEiO3bs4J133mHbtm2899577hfQggULePvtt7n55puJiIjg3//+NyaTiccff9x9r6ysLKZPn86//vUvFWGbA4OBmuhelEX3ovySJ/Ha9QVe26ZhLtmP97aP8d72Mc6oXlQl3YQ9/kowezd1xCIiIiIiIiIiR3C5XNz+WTJbMkubOpRj6hoTwNQJXU+rGFtaWsI999zHjTdOAuDKK0czZsxlbNq0gfvvf4Dx4693j1999RX8+ONKAGbNmkF5eTmvvvpvOnS4yH2/wYOHcfPN4/nxxxXuQuy7777FoUMHmTJlKklJXdznXn75Vdx++828+uqLvPTS66c8B09rVoXYmpoaUlNTGTlyJGPGjDmpa5OTk5kxYwbjx4/nmWeecY9HR0fz2muvsXDhQq644goA5s6dS+fOnXn00UcBKC4u5tNPP+Wxxx5zv8Bee+01OnbsyIgRIzw0O/EUl1cwVd3upKrrHVgyfsR728dY9y/Ckr0eS/Z66lY8SXWH8VQn3URtUNumDldEREREREREpJHTW2t67rj00svcfzabzbRoEUtJSQnDhl3qHjeZTERHx7BjxzYA7rvvT9x44y2EhIS6z6mrq6O2thaAiooKoL6gvWTJd8TFtaFly1YUFxe7zw8JCaVTp86sW7eGysrKIz4F31SaVSF2//79OBwOEhMTT/raOXPmADBp0qRG45MmTeKtt95i9uzZ7kJsVlYWHTv+/DH21q1bU1VVRWFhIaGhoezevZt58+Yxffr0U5+MnHkGA86WA3C2HICxIgevnTPw2v4JpvIMfJLfxSf5XRwtBlCVdDOONiPBZG3qiEVERERERETkAmcwGJg6oet535oAaFRMBdyfOg8NbTxuNBpxHd6Y3WAwUFNTwwcfvMvu3TvJysokI+MQDocDqC/KAhQXF1FaWkJpaQlXXXXshZR5ebm0bh132nPxhGZViN21axcACQkJAFRVVWG1Wk+oNUBycjL+/v7Ex8c3Gvfx8SEhIYEtW7a4x8LCwigpKXF/XVRUhNlsJjAwEICXXnqJIUOG0LNnz9Oek5wddb6RVPa6n8oe92JN/wGv7dOwHliMNWMV1oxV1HmHU9VxAtUdb6AuoPn0BhERERERERGRC4/BYMDbcv63wjSbj156/LUi78qVy3j88YexWm306tWbQYOG0qZNPF26dOXqq69wn9dQkE1K6sLvfnfXMe8XHh5xitF7XrMsxC5btoxnnnmGzMxMLBYLgwYN4qGHHqJVq1bHvDY7O5vo6OijHouMjGTHjh2UlZXh7+/PxRdfzJQpU1i2bBmRkZHMnj2b/v37YzabWb16NatWrWL+/PlnZI5yhhlNOOKG44gbjrH0EF47/4vXjv9iqszFd8Mb+Gx4E0froVR3uhlH62FgPP/f9EREREREREREzhVvvPEKFouF6dO/ICwszD2el5fb6LygoGC8vX0oLS2hd+++R9xn3brVGI0mrNbm8wnpZlWI3b17NwCbN2/m97//PUFBQWzcuJFp06axceNGvvjiC2Jjj76asays7JiFWm/v+o2bKisr8ff355ZbbmH9+vXceeedALRr144nnngCl8vFiy++yNixY2nXrp3H5uWBldzNWsP8mts8XYEtqer3IFW9/4h1/7d4bZ+O9eAKbGlLsKUtodYvhupON2C/aAJ1flFNHS7QfHN5LlIuPUe59Bzl0rOUT89RLj1HufQc5dJzlEvPUS49R7n0LOXTczyVSz0Xp66kpJigoOAj2hd88slHAO5esSaTiUGDBrNo0UIWLfqayy77ebVsamoKDz74R2JjWzFt2uenFY/B8OvP58k8182qEHvVVVfRpUsX7r77bne1+tJLL6V79+783//9Hy+//DKvvvrqSd+3oceE0WgE6tsVvPfeexw4cAC73U67du0wm8189dVXpKamMmXKFFwuF1OnTmXmzJnY7XYuvfRSHnjgAXdR92SEhvqf9DXnomY9z8gJ0G8CFOyFDf+BTZ9gKs/Ed81L+K59BTpcCb1ugzaD4fDrpCk161yeY5RLz1EuPUe59Czl03OUS89RLj1HufQc5dJzlEvPUS49S/n0nNPNZXV1NYWFRkwmA2Zz09cZzrZfth745fwbxv83J78cHzRoCF9//SUPP/wAl1wykOrqapYuXcyWLclYrVYqKsrd19933x/ZvHkTzz33JBs3riMpqTM5OTnMnj0Tk8nMX//68Cnnv67OgNFoJDjYFy8vr1O6x/9qVoXYsWPHHnV85MiRREdHs3LlymNe6+vrS1VV1VGPVVdXAxAQEOAeMxgMtGnTxv21w+HglVde4eabbyYqKoo5c+bw6quv8vzzzxMZGcnkyZNxOBw8/fTTJz2vgoIyDteCz0sGQ/0b1LkxzwjoMRm6/AHb3q/x2jYdS9Za2Dkfds6nNjCO6k43UX3ReFzeIWc9unMrl82bcuk5yqXnKJeepXx6jnLpOcql5yiXnqNceo5y6TnKpWcpn57jqVw6nQ7q6uqorXVR04w35TpTXL9I3i/n3zD+vzn55fgf//hX/P0D+OGHJaxdu5qgoGDato3n9dffZv78OXz//SLS0w8SE9OC4OBQ3nvvYz766H1WrVrBt99+Q2BgEN279+CWW35HYmKHU85/ba2Luro6iooqsFicxzyv4TVzIgwu17nxLXrNNdewc+dOduzYcdTj48aNIyMjgzVr1hxxbOzYsWRnZ7N69epj3v/jjz9mypQpfPfddwQEBHDLLbcA8NFH9cue33rrLd5++22Sk5NPete4/Pzz+43QYICwMP9zdp6mgl14b5+ObfcsjI4yAFxGK/Z2V1LV6WZqonuftc8UnOu5bE6US89RLj1HufQs5dNzlEvPUS49R7n0HOXSc5RLz1EuPUv59BxP5dLpdFBQkEVoaDQWS/PpUXq2mc3Gc7YQfaLPYcNr5kQ0m7XR+fn5jBo1ivvvv/+IY06nk7S0tGP2hwXo2rUrxcXFpKenNxqvqKggNTWV7t27H/Pa8vJy3nrrLe666y73qtnc3NxGDYFDQkKw2+0UFhae7NSkmasN7UD5oGcpmLSBsqEv4gzvgqHOgdeeOQTPGUfwZyPw2vIfDPbSpg5VRERERERERETOUc2mEBsaGorD4WDJkiXs3Lmz0bF33nmHsrIyrrnmmmNeP2rUKADee++9RuMffvghTqeTcePGHfPaqVOn4u3tzU033eQei4qK4uDBg+6v09PTsVqtBAcHn9S85Bxi8aG64/UUj/+aouu+ouqiCbjM3pgLd+O/4jFCP+yJ35K/YM5NbupIRURERERERETkHNNsesQaDAaefPJJ7rjjDiZOnMgNN9xAREQEq1ev5ttvv6Vv375MmjQJgF27drF7927at29Phw4dAOjRowfjxo1jxowZlJSUcMkll7Blyxa++OILhg4dyogRI476uLm5uXz00Uc88cQT7g3CoL6w+/DDD/Pss88SGRnJf//7X8aOHeve8EvObzURXSkf1pWKAY9h2z0b7+3TMRfuxnvnZ3jv/AxneBeqk26iOmEsWHyaOlwREREREREREWnmmk0hFqB///7897//ZcqUKXz66adUVVURGxvLH//4R373u9+5C6Xfffcdb775Jvfdd5+7EAvwzDPP0KpVK2bNmsXixYuJiorinnvu4a677jpmX9c33niD2NhYxowZ02j86quvJicnh88++wy73c6oUaOYPHnymZu8NEsuWyDVXW6luvMkzFnr8N4+DVvqV1jytmBZ+ld8Vz2Dvf04qjrdTG1oh+PfUERERERERERELkjnzGZd57LzvVn2hdYU3FBViNeuz/HeNg1TaZp73Bndm6pON2GPvxLMXqd27wssl2eScuk5yqXnKJeepXx6jnLpOcql5yiXnqNceo5y6TnKpWcpn56jzbo8S5t1NabP2YucJJd3CFXd76bwphUUj/4v9vgrcBlMWLLWEfD9Hwj9qDe+q57BVLyvqUMVEREREREREZFmolm1JhA5pxiMOGMH4owdiLEiG6+dM/Da/gmm8kx8Nr+Dz+Z3cLQcSFXSTTjiRoLJ0tQRi4iIiIiIiIhIE1EhVsQD6nyjqOz1Byp73Ic1bQle26dhTVuK9dAKrIdWUOsTQXXH66nueAN1/i2aOlwRERERERERETnLVIgV8SSjCUebS3G0uRRj6UG8dnyK947PMFXm4rv+NXw2vIGj9TCqO92Mo9UQMJqaOmIRERERERERETkLVIiV0/bkwt1U1NRxeftwBsaHYjYamjqkZqEuIJbKfpOp7P0nrPu/xXvbNKwZq7Ad+B7bge+p9WtBdacbqbpoAi7fiKYOV0REREREREREziAVYuW0/XSgiIIKB0t35xHuZ+XqLtGM7RxFuJ+tqUNrHkxWHO2uwtHuKkxFe/Ha/gleu2ZgKs/Ad80L+Kz7F442l1HV6WZqYi9u6mhFREREREREROQMMDZ1AHLu+/im7tw7NJ5gbwt55Q7e/TGNUVPX8tCCHaxPL8blcjV1iM1GbXA8FZc8TsGk9ZSOeBVnVC8MdTXY9n5F0PwJBE8fDKtew1iW2dShioiIiIiIiIiIB2lFrJy2SH8bD17WgRu7RrNkTz4zkzPZnFHK4j35LN6TT5sQH67pGs2VnSLxs+klB4DZG3v7a7G3vxZT/g68t3+CbfcsTCX74bvHCeFxnNF9qG43Cnu7q3D5hDd1xCIiIiIiIiIichpUFROPsZqNXHZRBJddFEFKXjmzkrP4ekcO+wsreWnpXt5csZ/LO0ZwTdcY2kf4NXW4zUZtWEfKBz9Hef9H8Eqdi/+++bjSfsSStRZL1lr8Vj6Bs8XF2BNGY297OS6v4KYOWURERERERERETpIKsXJGJIT78dCIBO4b2Iavd+QyMzmT/QWVzNmSzZwt2XSJCeDabtEMTwjHalaHDACsvtg73Yj/4LspOrAba8pX2FLnY8nZhPXQSqyHVuK37BEcsYOwJ4zG0eYyXFb/po5aREREREREREROgAqxckb52cyM7x7Ddd2i2ZRRwszNWSxJyWdLZilbMkv5l/c+xnSOYlyXaGICvZo63Gajzi+Gqm53UNXtDowladhSF+CVMh9zwQ5saUuwpS3BZbLhaD2M6oQxOFoPB4t3U4ctIiIiIiIiIiLHoEKsnBUGg4EeLYPo0TKI/AoH87ZmMTs5i9xyBx+tPcjHaw8yoG0I13aNoV9cMCajoalDbjbqAltT1fM+qnreh6kwBVvqfGwp8zEX78W2byG2fQtxmX2wt7kUe8IYHK0Gg8nW1GGLiIiIiIiIiMgvqBArZ12Yr5Xf9WvNLX1asXJvATOTM1mTVszKfYWs3FdITKAX13SJZnRSFEE+lqYOt1mpDUmgss8DVPb+M6aCnXilzMOWMh9T2UG8UubhlTKPOmsA9raXY08YjbPlADDq21xEREREREREzp777ruTwsICJk6cxJQpb1BZWUHbtvHs3LmDJ554loMH0/n66wUUFhbQsmUsv/vdXQwYMIhPPvmIBQvmUlRUSOvWcdx5573063ex+74ZGYd4550pbN++lcLCAoKDQ+jVqw+33XYXUVFRjWL49ttvmDnzM/btS8VgMJCY2IHrr7+ZSy4ZdLbT4WZwuVyuJnv0C0R+fhnnc5YNBggL8z+teaYXVTErOZMF23Ios9cAYDUZGNE+nGu7xpAU7Y/BcP6vkj2lXLpcmHM21a+UTV2AqSLHfajOKwR7/JX1RdmYvmC4cPrxeuJ1KfWUS89RLj1L+fQc5dJzlEvPUS49R7n0HOXSc5RLz1I+PcdTuXQ6HRQUZBEaGo3FYj3yBJcLaqpO/QHONLN3fTJO0X333cnOndux2by44YabAXA4HHzwwbtERETi7e3NmDHjcDqdTJ/+EZWVFfTu3ZecnGyuumoMNTU1TJ/+EXa7nU8/nUlUVDRlZWVMmnQ9LpeLsWOvISQkhH379jJnzkzCwsKZPv1zbLb6tpdvvfU6n376Mb179+XiiwficNj5/vtFpKTs4f77/8z48Tccdw7HfQ4Pa3jNnAgtlZNmoVWwN38aEs89A+L4dnceMzdnsjOnnK935PL1jlzaR/hxbddoLrsoAm+LqanDbV4MBmqielAT1YOKAY9jyVqLLWU+ttQvMVYX4r19Gt7bp1HrG4m93Sjs7UZTE9n9tN5QRUREREREROQUuVwEzb4aS/b6po7kmJzRvSm+evZp1Q7sdjt/+ctkLr98NAAbN9bP1+l08vHHM/Dz8wPAbDbzxhuvsHdvKp9+Ogtv7/o9cLy8vHjllRdZv34NV101lvXr15CTk81TT/2d4cMvdT9OREQkCxd+xf79++nQ4SJ27NjGp59+zNVXX8cDD0x2n/fb397In/98H//+9xsMGTKciIjIU57bqVIhVpoVL4uJ0UlRjE6KYnt2GTM3Z/Ld7jx255bz3HcpvLZ8H1d1iuKaLtHEhfo0dbjNj8GIM6Yfzph+lA98GsuhVfVF2X0LMVXk4JP8Hj7J71HrH4s9YTTV7UZTG9ZRRVkRERERERGRs+kC+Tm8d+++R4z17dvfXYQFaN26DQD9+w9wF2EBWrZsBUBeXh4AERH1rQc+/fRjbDYrPXv2wdvbmwkTbmLChJvc133//SIAhg+/lOLi4kaPPWzYpWzcuJ4ff1zB2LHXemCGJ0eFWGm2OkX50+k37fnD4LZ8uT2HWcmZHCqu5rONGXy2MYNerYK4rms0g+JDMZsunI/cnzCjGWerwThbDaZ8yPNY05djS5mHbf+3mMoO4rNxCj4bp1ATFI89YTT2hDHUBrdr6qhFREREREREzm8GQ/1q0/O4NUGDkJDQ446ZTPWffA4NDWs0bjTW13rq6uoA6NQpiVtu+R3Tp3/IQw89gNlsplOnzvTrdzGXX34VYWHhAKSnpwH17RGOJSsr6xRndHpUiJVmL8jbwk29WnJDzxasSSti5uYsVu4rYH16MevTiwn3s3J152jGdoki3M/W1OE2TyYbjjaX4mhzKWXOKqxpi/FKmYc1bQnm4r2Y172C77pXqAntSHXCaOwJo6kLaNXUUYuIiIiIiIicnwwGsJz/n/RtKKb+ktl86uXIO+64h3HjruPHH1eybt0aNm3aQHLyJj7++ANeeeUtkpI6U1dX39z3uedexMfn6DmOjIw66viZpkKsnDOMBgP940LoHxdCdmk1c7ZkMXdrNnnlDt79KY33V6cxJCGMa7vG0DM28ILY3OuUWLxxtLsKR7urMDjKsO7/FlvKfKwHl2Eu2IFfwQ78Vv8DZ0Q37AljsLe7ijq/6KaOWkREREREREQuYAUF+ezbt5du3XowatRYRo0ai8vl4ptvvuK5557ks8+m8eyzLxATEwPUr7BNSurc6B6HDh0kLe3AMQu0Z5o+zy3npKgAL+65pA1f3tmX567sQPcWAdS6YPGefO75YgvjP1zPjI0ZlNtrmjrUZs1l9cfe/hpKr/qIgls3UTb0BRwtL8FlMGLJ3YzfqqcI+agPgXOuwWvbxxgq85s6ZBERERERERG5AH355Tz+9Kd7Wb58qXvMYDCQlNQF+LnFwZAhwwH44IN3qan5uS5UU1PD888/xeTJfyIvL/csRv4zrYiVc5rFZGRkhwhGdoggNa+CmcmZLNyRy4HCKl5aupc3V+znNxdFcG23GNpH+B3/hhcwl1cw1R1voLrjDRgq87Dt/QqvlPlYstZizVyDNXMNfssfw9lyAPZ2o7G3/Q0ur6CmDltERERERERELgCjRo1l7txZ/OMfz7B9+1bato2nuLiYefPmYLFYuPbaCQD06tWHq64aw5dfzuOuu25l+PCRWK0WFi1ayM6d27n66uu46KJOTTIHFWLlvNEu3JeHRiRw38A2LNyZy8zNmewrqGTu1mzmbs2mc3QA13aLZnhiODazFoP/GpdPONWdJ1HdeRLGskxsqQuwpc7HkpuM9eByrAeX47fsYRythmBPGI0j7lJcVhW6RUREREREROTMCAkJ5c033+Wjj95nxYplzJ07C29vb7p06cZTTz1Hx45J7nMnT36UTp06M3/+bD744B1MJhOxsa156KFHufLKMU02B4PL5XI12aNfIPLzyzifs2wwQFiYf7Obp8vlYlNGCbM2Z7E4JZ/aw82ag7wtjE6KYlzXKFoEejdxlI0111w2MJYcwCtlAbbUeZgLdrnHXSYbjrgRVCeMxtF6WP3uik2suefyXKJceo5y6VnKp+col56jXHqOcuk5yqXnKJeeo1x6lvLpOZ7KpdPpoKAgi9DQaCwWq+cCPMeYzUZqauqaOoxTcqLPYcNr5kRoRayctwwGAz1aBtGjZRB/qnAwf2s2s7dkkVNm5+N1B5m27iAD2oZwbdcY+sUFYzJqc6/jqQuMo7LX/1HZ6/8wFezGljofW8p8zCX7se39Ctver6iz+OJocxn2hDE4YgeC6cL9C0dEREREREREpIEKsXJBCPO1clu/VkzsE8uqfQXM3JzF6rQiVu4rZOW+QmICvbimSzSjk6II8rE0dbjnhNrQ9lSGPkhln79gzt+OLWUetpT5mMoz8NozG689s6mzBWJvezn2hDE4W/QHo95yREREREREROTCpKqIXFDMRgOD24UxuF0Y6UVVzErO5MvtOWSWVPPGiv28/eMBRiSGc223GDpH+2MwaJXscRkM1IQnUROeREX/RzDnbKwvyqZ+iakyF++dn+G98zPqvMOwt7uS6nZjqInuBQb16RURERERERGRC4cKsXLBahXszZ+GxHPPgDi+253HzOQsdmSXsXBnLgt35pIY7su13WL4zUUReFtMTR3uucFgoCaqJzVRPakY8ASWrDXYUuZj2/sVxqp8vLd+hPfWj6j1i8YePwp7wmhqIrrWN1QRERERERERETmPqRArFzwvi4lRSVGMSopie3YZszZn8u3uPPbkVfD8dym8vnwfV3aM5NquMcSF+jR1uOcOowlni4txtriY8oHPYDm0Eq/U+Vj3fYOpPAuf5HfxSX6X2oDWVCeMxp4wmtqQDirKioiIiIiIiMh5SYVYkV/oFOVPp9+05w+D2/Ll9hxmJWdysLiaGZsymbEpk16tgriuazSD4kMxm/TR+hNmsuBsPRRn66Ew+O9Y05fVb/S1/1tMpWn4bngD3w1vUBOciL2hKBvUtqmjFhERERERERHxGBViRY4i0NvCjb1acn3PFqxNK2Lm5ixW7CtgfXox69OLCfezMrZzFGM7RxPhb2vqcM8tZi8cbS/D0fYyypyV2A58jy1lHtb0HzAX7cG89iV8176EMyypvijbbjR1AS2bOmoRERERERGRU+Bq6gDklHn+uWvWS/pqa2u54YYbaN++PTU1NSd0zZw5cxg7dizdunXjkksu4amnnqKkpOSI86ZNm8Yll1xC7969+dOf/kRhYeER53zyySf069eP8vLy056LnJuMBgP94kJ4aWwn5t3eh9v6tSLEx0JeuYOpP6UzeuoaJs/fwbr0IlwuvbmeNIsP9oTRlF7xPgW3bqJ0+KvYWw3FZTRjyd+G30/PEzqtH0GzxuCd/D7GipymjlhERERERETkuIzG+pJbbW1tE0cip6q2tr4W2fBcekKzLsS+/fbbbNiw4YTPf+edd3jooYcICgriwQcfZNSoUXzxxRdMnDiR6upq93kbNmzg2WefpW/fvtx3332sWbOGhx9+uNG9KioqeOutt7j77rvx8/Pz2Jzk3BUV4MU9A+L48s6+PHdlB7q3DKTWBUtS8vn9F1sZ/+F6PtuYQVn1if2ngTTmsgVg73AtpaOmUTBpI2VD/oGjxcW4MGDJ3oDfyicI+bAXgXOvw2vbdAxVR/7niYiIiIiIiEhzYDKZMZutVFaWa+HWOcjlclFZWYHZbMVk8lxDgWbbmmDLli289dZbWK1WHA7Hcc/PysrijTfeYODAgbz77rvuanWHDh3461//yrRp07jjjjsAmDt3LuHh4bzwwguYTCbMZjNPP/00+fn5hIWFAfDBBx9gs9m44YYbztwk5ZxkMRkZ2SGCkR0iSM2vYNbmTL7ekcuBwipeXrqXKSv285uLIri2WwztI1TEPxUu7xCqO91EdaebMFbkYN37FV4p87Fkr8ea8RPWjJ/wW/43nLEDqU4Yg6PNZbhsAU0dtoiIiIiIiIibr28AJSX5FBXl4ePje7igd2FtUF1XZ6C29lwqRLuora2hsrICh6OKwMAwj969WRZiKyoq+Mtf/sLAgQOpqKhg7dq1x73myy+/xOl0MnHixEZLhkePHs3LL7/M7Nmz3YXYrKwsWrZsiclkAqB169YAZGZmEhYWRn5+Ph988AFPPfUUVqv1DMxQzhftwnyZPCKB+wa1YeGOXGYmZ7I3v5K5W7OZuzWbztEBXNstmuGJ4djMzXoBerNV5xtJdZfbqO5yG8bSQ9hSF2BLXYAlbwvW9B+wpv+Ay2jF0XpofU/ZuEvB4tPUYYuIiIiIiMgFztvbF4CKilKKi/ObOJqmYTQaqaura+owTprZbCUwMMz9HHrsvh69m4c899xzlJWV8eyzz/KnP/3phK5JTk4GoFu3bo3GDQYDXbp04bvvvqOsrAx/f3/CwsLIyMhwn1NUVARASEgIAG+++SatW7dm1KhRHpiNXAh8rWau7RbDNV2j2ZxRyszNmSxJyWdrVilbs0p55Yd9jE6KYlzXKFoEejd1uOesuoCWVPW4h6oe92Aq3ldflN0zD3PRHmz7F2HbvwiX2Rt73KU4EkdDoL6HRUREREREpOl4e/vi7e1LbW3NOVmQPB0GAwQH+1JUVMG51J3BaDR6tB3BLzW7Quy3337LrFmzmDJlirtNwInIzs7Gx8eHgIAjP54cFRUFQEZGBh06dODiiy9mzpw5zJ49m+7duzN9+nTatWtHTEwM+/fv54svvuDtt9/GYLiwlovL6TMYDHRvGUj3loEUVDiYvy2bWclZ5JTZ+XjdQaatO8iAtiFc0zWa/nEhmIx6jZ2q2qC2VPb6A5W9/oCpYBe2lPl4pczDVJqGV+p8vFLnw/d++Le8BEfr4ThaD6PON7KpwxYREREREZELkMlk5vAHsy8YBgN4eXlhsTjPqULsmdSsCrE5OTk89thjXHvttYwYMeKkri0rK8PX9+jLhb28vACorKwE4KqrrmLlypXuDbqioqJ48803MRqNvPLKK/Tq1YuBAweexkwaO9/ruQ3zO9/nebLC/Kzc1q8VE/vEsmpfITM3Z/LTgSJW7itk5b5CYgJsjOsaw5jOkQT71LfAUC5PTV1YB6rCOlDV70FMeVuxpczDlrIAU3kmtn3fYNv3DQA14Z1xxA3D0XoYNRHdwHiB/S14ivS69Bzl0rOUT89RLj1HufQc5dJzlEvPUS49R7n0LOXTc5RLz7lQcnky8zO4msnWbS6Xi1tvvZVDhw4xb948d1H15ptvZu3atWzfvh2z+dh148suu4yKigpWrlx5xLEXX3yR9957jxkzZjRqXZCRkUFRURGJiYlYrVY2b97MhAkT+OKLL+jcuTOzZ8/mgw8+oLi4mP79+/Pwww+72xeInIoD+RV8siaNz9cfoqTKCYDVZOTKLtHc1K81PVoFaSW2p9TVQXYy7PkWUhZBxkbgF293PqHQ7lJIuBTaDQfv4CYLVURERERERETOf81mRex//vMfVq9ezZQpU7Db7djtdgCczvpiVXFxMRaLhcDAwKNe7+vrS37+0RsfV1dXA+Dv799ovEWLFrRo0cL99QsvvMDll19O586dWbt2LQ8//DB//etf6datG08++SQPPvgg77///knPraCg7Lxegm0wQGio/3k/T0/wA+7qG8stPWL4bnceMzdnsT27jDmbMpizKYP2Eb7cdHEb+sb4EeKjjeJOh8EAoTHdKbC1w5X0ewyV+fWbex1YjCV9GcbKAtjyGWz5DJfBRE10Lxyt61fL1oZ2OP//y+4k6Hvcc5RLz1I+PUe59Bzl0nOUS89RLj1HufQc5dKzlE/PUS4950LJZcM8T0SzKcQuXboUl8vF73//+6MeHzBgAC1atGDJkiVHPd6yZUu2b99OeXk5fn5+jY5lZ2djNBqJjDx2f8jFixezZcsWvv76awDmzp1LbGwsv/vd7wC4/fbb+etf/0pubi4REREnNTeXi/P6BdfgQpmnJ9jMJq7qFMVVnaLYkV3GrORMFu3KY3duBY/N3YbRAN1aBDI0IYyhCWFE+tuaOuRzVsPr0uUdRnX7a6lufy3UOrFkr8eatgRr2hLMhbuxZK7BkrkG35/+Tq1fi/qibNxwHC0GgEUbrIG+xz1JufQs5dNzlEvPUS49R7n0HOXSc5RLz1EuPUv59Bzl0nOUy581m0Ls5MmTKS0tPWL8H//4B7t37+b999/H2/vYxZAuXbqwaNEitm7dSv/+/d3jLpeLLVu2kJCQcESBtkFtbS0vv/wyv/3tb2nVqhUAubm5jTYLa2hJkJ2dfdKFWJFf0zHKn45R7bl/UFu+2pHDktQCkg+VsPHwr5eX7iUp2p9hCWEMSwyjRaCKgqfNZMHZoj/OFv2puPhvGEsPHi7KLsZ6aBWm8gy8t0/De/s0XCYbzhb9sTds+BXYuqmjFxEREREREZFzULMpxCYlJR11vKEVQb9+/X61R+zll1/Oq6++yvvvv0+/fv3cfTbnzZtHbm6ue2Xr0cyePZvs7OxGq3GjoqJYtmwZdXV1GI1G0tPTAX51Va3I6Qj0tnBjr5b84TcXsW1fHov35LM0JZ/kjFK2ZZWxLauM15fvp32EH8MOr5RtE+rT1GGfF+oCYqnufAvVnW+Bmiqsh350F2ZNZYfqWxqk/wArHqMmuB2Ow0VZZ3RvMKmFhIiIiIiIiIgcX7MpxJ6MgwcPsnHjRlq1akX37t2B+n6vd999N2+88Qa33XYbl19+Ofv372fatGl07tyZCRMmHPVeVVVVvP7669x2222Ehoa6x0eNGsUXX3zBgw8+SNeuXXnnnXcYMGCACrFyVkQFeHFDz5bc0LMl+eV2fkgtYElKPhsPFrM7t5zdueX8e9UB2oT61K+UTQgjIdxXG315gtm7viVB3HBwPYupKAXrgcVY0xZjyVqHuSgVc1EqPpvfoc7ih7PVoPrVsq2G4vLVankRERERERERObpzshC7bt06Hn74Ya6++mp3IRbgvvvuIzQ0lOnTp/P0008TFhbGb3/7W+6//368vLyOeq+PPvqIuro6br311kbjffv25dlnn+Wdd95h2bJlXHLJJTz22GNndF4iRxPmZ+PabjFc2y2G4kony/fWF2XXpBWxv6CS9wvSeX91Oi2DvNxF2Y5R/irKeoLBQG1IIlUhiVT1uAeDvQTLwRXY0hZjTVuKsSof296vse2t7y3tDO/i7i1bE9EVDMYmnoCIiIiIiIiINBcGl0vtcs+0/Pzzf3e4sDD/836eZ8PJ5LLcXsOKfQUs2ZPPTweKsNfUuY9F+tsYergo2yUmAJPxwivKnvHXpasOc+6W+r6yaUuw5CY3OlznHYqj1dD6NgatBuGyBZ6BIM4OfY97jnLpWcqn5yiXnqNceo5y6TnKpecol56jXHqW8uk5yqXnXCi5bJjniTgnV8SKCPjZzFx+USSXXxRJpaOWH/cXsiQln1X7Cskps/PZxgw+25hBiI+FoYd7yvZsGYjZpFWaHmEwUhPZjZrIblT2eQBDRS7W9B+wpS3GcnA5xqoCvHbPxGv3TFwGE87oXod7yw6nNiSx/p1aRERERERERC4YKsSKnAd8rCZGtA9nRPtw7DV1rD5QxNKUPJbvLaSw0sms5CxmJWcR6GVmUHwowxLD6NMqGKtZRVlPcflGYL9oPPaLxkOtE0vW2sMbfi3BXJSCNXMN1sw18NPz1Pq3rG9h0Ho4jhYXg8W7qcMXERERERERkTNMhViR84zNbGRwu1AGtwvFWVvH+oPFLNmTz7LUAoqqnCzYnsOC7Tn4Wk1c0jaEYYnhXBwXjJfF1NShnz9MFpwtB+BsOYCKAY9hLE0/vOHXEqwZP2IqO4T3to/x3vYxLpMNR4uL6zcIaz2cuoDYpo5eRERERERERM4AFWJFzmMWk5H+cSH0jwvhoREuNmeUsGRPPktT88krd7BoVx6LduXhZTZycZsQhiWEMaBtCH42vTV4Ul1AK6q73Ep1l1vBWYU1Y1V9UfbAYkzlGdjSl2JLXwo8Sk1wIo7WQ3HEDccZ1RtMlqYOX0REREREREQ8QNUWkQuEyWigZ2wQPWODeGBYPNuyyuqLsil5ZJbaWZKSz5KUfCwmA31bBzMsIYxB8aEEeqsQ6FEWbxxxI3DEjYBBLkyFu3/e8CtrPeaiPZiL9uCz+R3qrAE4YgcdbmMwFJdPeFNHLyIiIiIiIiKnSIVYkQuQ0WCgS0wAXWIC+MPgNuzOLa8vxO7JJ62oipX7Clm5rxCT0UCv2ECGJYQxuF0Yob7Wpg79/GIwUBvagarQDlT1uBdDdTHWg8sPF2aXYqwuxGvvl3jt/RIAZ0TXwxt+DaMmogsY1ONXRERERERE5FyhQqzIBc5gMNAh0p8Okf7cMyCOfQWVLEnJZ2lKPil5FaxJK2ZNWjH/XJxK1xb1RdmhCWFE+tuaOvTzjssrCHvCaOwJo6GuFnNu8s+rZfO2YslNxpKbjO+6f1HnHY6j9VDsrYfhjB2EyxbQ1OGLiIiIiIiIyK9QIVZE3AwGA/FhvsSH+XJH/9akF1Wx9HDLgh3ZZWw6VMKmQyW8vHQvSdH+7qJsyyDvpg79/GM0URPVg5qoHlT2fRBjRQ7WtKVY0xZjObgCY1UeXrs+x2vX57iMZpzRvQ+vlh1ObXA7MBiaegYiIiIiIiIi8gsqxIrIMbUK9uaWPrHc0ieW7NJq90rZ5IxStmWVsS2rjNeX7ycx3JdhiWEMSwinTahPU4d9XqrzjaS64wSqO06AWgeWrHVYDyzGmrYYc/FerBk/Yc34CX58llr/WBxxw+oLsy36g1mFchEREREREZGmpkKsiJyQqAAvbujZkht6tiS/3M4PqQUsScln48Fi9uRVsCevgrdXpdEmxIehiWEMSwgjMdwXg1Zmep7JirPlAJwtB1BxyeMYSw5gTVuCLW0xlozVmMoO4r31I7y3foTL7IWjxQAccfWrZev8WzR19CIiIiIiIiIXJBViReSkhfnZuLZbDNd2i6G40smyvfXtC9amFbO/sJL9q9P5YHU6LYO8GNoujGGJYXSK8ldR9gypC4yjusttVHe5DZyVWA+txJq2BGvaYkzlWdjSFmNLWwxATUh7HK2H4YgbjjOqFxj114CIiIiIiIjI2aCfwEXktAT5WBjTOZoxnaMpq65hxb4Clqbk89OBIg4VVzNt/SGmrT9EhJ+VoQn1RdmuMYGYjCrKnhEWHxxtRuJoMxJcLkwFOw+vll2COXs95sLdmAt347Pp39RZA3C0Gny4t+xQXN6hTR29iIiIiIiIyHlLhVgR8Rh/LzNXdIzkio6RVDpq+XF/IUtS8lm1r5DccgczNmUyY1MmIT4WhhxeKduzZSBmk7GpQz8/GQzUhnWkKqwjVT3vw1BdhDV9Gda0xVjTf8BYXYRX6gK8UhfgwkBNRFd3C4Oa8CQw6HkRERERERER8RQVYkXkjPCxmhjRPpwR7cOx19Sx+kARS1PyWL63kMJKJ7O3ZDF7SxaBXmYGxYcyNCGMvq2DsZpV/DtTXF7B2BPHYk8cC3W1mHM3uzf8suRvx5K7GUvuZnzXvkytTwSOVkNxxA2jptUgwL+pwxcRERERERE5p6kQKyJnnM1sZHC7UAa3C8VZW8f6g8Us2ZPPstQCiqqcLNiew4LtOfhaTVzSNoRhieFcHBeMl8XU1KGfv4wmaqJ6UhPVk8p+f8VYnoU1fWl9YfbgCkyVuXjvmoH3rhm4jBZo3R9b6yuwx1+Jyyu4qaMXEREREREROeeoECsiZ5XFZKR/XAj940KYPMJFckYJS/bkszQ1n7xyB4t25bFoVx5eZiMXtwlhWEIYA9qG4GfT29WZVOcXTXXHG6jueAPU2rFkrq1vYXBgMeaS/bB/Of77l+O3/DEcrYbUr6yNuxQsPk0duoiIiIiIiMg5QZUNEWkyZqOBnrFB9IwN4oFh8WzLKqsvyqbkkVlqZ0lKPktS8rGYDPRtHcywhDAGxYcS6G1p6tDPbyYbztiBOGMHUnHJk5hK9hGSvYSazZ9jzt+B7cB32A58h8vsg73NSOyJV+OIHQQmPS8iIiIiIiIix6JCrIg0C0aDgS4xAXSJCeAPg9uwO7e8vhC7J5+0oipW7itk5b5CTEYDvWIDGZYQxuB2YYT6Wps69PNeXVBbaNeV4g63Y8zfjS1lHl4p8zCVpuGVMhevlLnUeQVjj78Ke+JYnNG9tdGXiIiIiIiIyP9QIVZEmh2DwUCHSH86RPpzz4A49hVUsmRP/erY1PwK1qQVsyatmH98n0q3lvVF2aEJYUT625o69PNebWh7KkP/SmXfBzHnbMKWMhevlPkYq/Lx3j4N7+3TqPWLwZ4whurEq6kNvQgMhqYOW0RERERERKTJqRArIs2awWAgPsyX+DBf7ri4NelFVSzZk8eSlHx25pSz6VAJmw6V8PLSvSRF+7uLsrHB3k0d+vnNYKAmqgc1UT2oGPA4lowf8dozF+verzGVZ+Kz6d/4bPo3NcGJ2BPHUp0whrrA1k0dtYiIiIiIiEiTUSFWRM4prYK9mdS3FZP6tiKrtJqlh9sXbMksZVtWGduyynh9+X4SI3y5sksLukT40CHSH7NRqzLPGKMZZ+wgnLGDYPBzWNOW1Bdl05ZgLtqDec0L+K55AWdkd+wJY6luNwqXb0RTRy0iIiIiIiJyVqkQKyLnrOgAL27o2ZIberYkv9zO0tQClqTks+lgMXtyK9jz/R4AfK0mesYG0btVEH1aB9EmxAeDPi5/Zpi9ccRfiSP+Sgz2Uqz7vsErZS6WQyux5GzCkrMJ31VP4Wx5CdUJY3G0/Q0uW0BTRy0iIiIiIiJyxqkQKyLnhTA/G9d1i+G6bjEUVzpZti+f9YfK+HFvPqXVNSzfW8DyvQX15/pa6d0qyP0rKsCriaM/P7lsAdgvGo/9ovEYKnLxSl2ALWUulpxNWA8ux3pwOa5lD+OIG15flG09DMx6LkREREREROT8dFqF2E8++YR+/foRHx/vqXhERE5bkI+FsZ2juX1oIjm5pezKKWddejFr04pIziwlv8LBwp25LNyZC9S3O6hfLRtMr9hAArwsTTyD84/LN4Kqrr+jquvvMJYcwCtlHrY9czAXpWLb+zW2vV9TZ/XH0fZyqhPH4mxxMRj1f4UiIiIiIiJy/jitn3L/9a9/ceutt3Lfffd5Kh4REY8yGQ10jPKnY5Q/t/SJxV5Tx9bMUtamF7EuvZgd2WWkF1WRXlTFrOQsDECHSD96twqmT+sgusYE4GUxNfU0zit1gXFU9voDlT3vx5S/A6+UOdhS5mMqz8Rr1+d47fqcOu9wqhNGYU8YS01kd1ArCRERERERETnHnVYh1mg0EhQU5KFQRETOPJvZSK9WQfRqFQRAWXUNGw8VszatmHXpxewvrGRnTjk7c8r5eN1BrCYDXWIC6NM6mN6tgrTxlycZDNSGd6IivBMV/R/BkrUO25652FIXYKzKw2fLB/hs+YDagNZUJ47FnjCW2pCEpo5aRERERERE5JScViH29ttv57333iMxMZFevXphNBo9FZeIyFnh72VmcLswBrcLAyC3zM76g8WsTS9mXVoRueUO1h8sYf3BEgD8bCZ6tqzf9Kt3q2DiQry18ZcnGIw4Y/rijOlL+cCnsB5cgW3PHGz7F2EqTcN3/Wv4rn8NZ1gn7AljsSeMoc4/pqmjFhERERERETlhp1WIXbduHaWlpdxyyy1YLBYCAwMxmRp/hNdgMLB06dLTClJE5GyJ8LdxRcdIrugYicvlIq2o6vBq2SI2HCyhzF7Dsr0FLDu88Ve43y83/gom0t/WxDM4D5isOOKG44gbTpmzEtv+b7GlzMWa/gOW/O1Y8rfj99NzOKL7Yk8ciz3+SlzeIU0dtYiIiIiIiMivOq1C7L59+wgKClJ7AhE5LxkMBuJCfIgL8WF89xhq61zsyi1nbVp9f9nkjBLyyh18vSOXr3fUb/zVOtjb3cagpzb+On0Wn/pia+JYDNVF2PZ+hW3PXKyZq7FmrcGatQa/FY/hiB1cf17cSLD6NnXUIiIiIiIiIkc4rULskiVLPBWHiEizZzIa6BTlT6cof27t24pqZy1bMktZl17fymBXThlpRVWkFVXxxeZMjAboEOlPn8MrZru2CMRmVguXU+XyCqa6001Ud7oJY1kmttT52PbMxZK/DVvaYmxpi3GZvbG3GYk98WocsYPAZG3qsEVERERERESA0yzE/pLL5aKoqAir1Yqfn98p3yc9PZ1XX32VdevWUVZWRkJCAhMnTmTUqFHHvba2tpZp06YxY8YMMjIyCAsLY9SoUdxzzz14eXk1ivXVV1/ls88+w2g0MnLkSCZPnoyPj0+j+73wwgv88MMPLFiw4IiWCyIiXhYTfVoH06d1MPcCpdVONhwsYV16fSuDA4VV7MguY0d2GR+uPYjNbKRLTAC9WwXRp3UwHSL8MGnjr1NS5x9DVfe7qep+N6bCFGwpc/HaMxdTaRpeKfPwSplHnS0Ie/yV2BPH4ozpCwYVwUVERERERKTpnHYhtqioiBdffJFvv/2WiooKAPz8/Ljsssv485//TEjIiffty8jIYPz48dTW1nLzzTcTGhrK119/zV/+8hcyMjK4++67f/X6p556ihkzZnDZZZcxceJEduzYwTvvvMO2bdt477333BvqLFiwgLfffpubb76ZiIgI/v3vf2MymXj88cfd98rKymL69On861//UhFWRE5IgJeFoQlhDE2o3/grp8zO+vRi1qbXtzLIK3ccLtIW89bKA/jbzPSMDaR3q2D6tAqitTb+OiW1IQlU9n2Qyj5/wZy7GdueudhSF2CqzMV7xyd47/iEWr9o7O1GY0+8mpqwTqA8i4iIiIiIyFl2WoXY0tJSJkyYQFpaGi1atKBXr17U1tayd+9eZs6cyZo1a5gzZ84Jr5D917/+RXFxMTNmzKBr164ATJgwgWuvvZa33nqL66+/nsDAwKNem5yczIwZMxg/fjzPPPOMezw6OprXXnuNhQsXcsUVVwAwd+5cOnfuzKOPPgpAcXExn376KY899pi7CPLaa6/RsWNHRowYccr5EZELW6S/jSs7RXJlp/qNvw4UVrEuvYi1acVsOFRMmb2GH1IL+CG1fuOviMMbfzX0mA3308ZfJ8VgoCayOzWR3akY8DiWjJ+wpczBtnchpvIsfDa/g8/md6gJboc9YSzVCWOoC2rT1FGLiIiIiIjIBeK0CrH//ve/SU9P58knn2TChAmNjs2YMYMnn3ySd955hwceeOCE7mc0Ghk6dKi7CAtgMpno168fO3bsYO/evfTo0eOo186ZMweASZMmNRqfNGkSb731FrNnz3YXYrOysujYsaP7nNatW1NVVUVhYSGhoaHs3r2befPmMX369BOKW0TkeAwGA21CfWgT6sP47i2oqXOxK6fM3V82OaOE3HIHX+3I5avDG3+1CfE5XJgNomdsEH42j3WTOf8ZTThjL8EZewnlg57Dmr4Urz1zsR74HnNRKua1L+G79iWcEd3qN/lqN4o638imjlpERERERETOY6f1U/13333HmDFjjijCAvz2t79l48aNfPvttydciH3xxRePOr5jxw6MRiMxMTHHvDY5ORl/f3/i4+Mbjfv4+JCQkMCWLVvcY2FhYZSUlLi/Lioqwmw2u1fbvvTSSwwZMoSePXueUNwiIifLbDSQFB1AUnSAe+Ov5MxS1qbV95fdlVPO/sJK9hdW8vnhjb86RvnT+/DGX11itPHXCTN74Wh7OY62l2NwlGHd9w1ee+ZiObQCS+5mLLmb8V31NM4WF2NPGIs9/nJctqN/+kJERERERETkVJ1WITY7O5tu3bod83j37t1ZuHDhKd27rKyMAwcOMH36dFavXs1NN91EVFTUr8YSHR191GORkZHs2LGDsrIy/P39ufjii5kyZQrLli0jMjKS2bNn079/f8xmM6tXr2bVqlXMnz//lOIWETkVXhYTfVsH07d1MNCGkionGw6VsC6tiLXpxaQXVbEtq4xtWWX8Z039xl9dYwLcbQzaa+OvE+Ky+mPvcB32DtdhqMzDlvolXilzsWRvwHpoJdZDK/Fb9giOuGFUJ4zFETcczN5NHbaIiIiIiIicB06rEBsYGEhmZuYxjx86dOiE+8P+rwcffJClS5cC0LVrV+69995fPb+srIxWrVod9Zi3d/0P0ZWVlfj7+3PLLbewfv167rzzTgDatWvHE088gcvl4sUXX2Ts2LG0a9fulOI+mvN9T5iG+Z3v8zwblEvPOddzGeRjYXhiGMMT6zf+yi6tdrcxWJtWTEGFo/7P6cUABHiZ6RkbRN/W9StmWwV7buOvcz2Xx+Qbjr3rrdi73oqxJA1bynxse+ZgLtyDbd832PZ9Q53FD0fb32BPHIsz9hIwnl57iPM2l01E+fQc5dJzlEvPUS49R7n0HOXSc5RLz1I+PUe59JwLJZcnMz+Dy+VyneoD/fnPf2b58uV88cUXtGnTeMOTvXv3Mn78eAYOHMirr7560vdevHgxLpeLrVu38uGHHxIQEMAnn3xyzGJrUlISnTp1YsaMGUcc++Mf/8jChQtZuXIl4eHhAPUb5xw4gN1up127dpjNZr766iseeeQRFi1aRGRkJFOnTmXmzJnY7XYuvfRSHnjgAXdRV0SkqbhcLlJzy1mVms/K1ALW7CugzF7T6JyYQC8ubhfGgHahDIgPIyLAq4miPce4XJCzHbZ+AdtmQcnBn4/5hkOnq6HzddCy9/n/rwkRERERERHxqNMqxO7du5drrrkGl8vFVVdd5V5FmpKSwpdffonRaOTzzz8nMTHxtIL8/vvvuffeexk9evQx+8j27duXyMjIo7YUuPvuu1m6dClbtmzBZjv6LuQOh4MrrriC3/zmN/zlL39hzpw5/O1vf+P5558nMjKSyZMnM2TIEJ5++umTjr+goIxTz3LzZzBAaKj/eT/Ps0G59JwLKZc1dS52ZpcdXi1bxJbMUpy1jSfdNtSHPq2D6N0qmJ6xgSe18deFlMtGXHWYs9ZjS5mHLWUBxupC96Fa/9j6Tb4Sx1Ib2v6Eb3nB5vIMUT49R7n0HOXSc5RLz1EuPUe59Bzl0rOUT89RLj3nQsllwzxPxGl9xjI+Pp733nuPRx55hFmzZjU6Fhsby7PPPnvaRViA4cOH4+fnx7Zt2455TosWLcjIyDjqsezsbIKDg49ZhAX47LPPKCsrc7crmDt3Lr1792bs2LEATJgwgbfffpunnnrqpD/u63JxXr/gGlwo8zwblEvPuRByaTL8vPHXbYc3/tqcUcK69GLWpRezK6ecfQWV7Cuo5LONmZh+sfFXn9bBdI4OwHoCG39dCLlszIgzug/O6D6UD3gS66EV2PbMxbbvG0xlB/HZ8AY+G96gJvQiqhPGYE8YS11AyxO684WXyzNL+fQc5dJzlEvPUS49R7n0HOXSc5RLz1I+PUe59Bzl8menVYjNycmhV69eLFq0iB07dpCeno7L5aJVq1Z07NgRo/HEd/TOz8/nxhtvJCkpiZdffrnRMafTid1u/9W2AF27dmX79u2kp6c3al9QUVFBamoqAwcOPOa15eXlvPXWW9x1110EBAQAkJubS8eOHd3nhISEYLfbKSwsJDQ09ITnJSJytnlZTPSLC6FfXAgAxVVONh6s7ye77vDGX1uzytiaVcYHhzf+6t4i8HBhNojECD+M+th9YyYLjtbDcLQeRpmzCtuB77DtmYs1fSnmgp34FezEb/U/cEb3pjphLPZ2V+Hy1t8VIiIiIiIi8rPTKsT+9re/Zdy4cdx///106tSJTp06nfK9wsLCMBgMfPfdd6SmpjbaLOuDDz7A6XQyYsSIY14/atQoPv30U957771G7QM+/PBDnE4n48aNO+a1U6dOxdvbm5tuusk9FhUVxcGDP/cGTE9Px2q1EhwcfKpTFBFpEkHeFoYlhjMssb5HdnZptbuNwbr0YgornaxOK2J1WhGsgEAvM71a1W/61btVMK2C1V+2EYs39oTR2BNGY6guwrb3a2wpc7FkrMaStQ5L1jr8VjyOI3YQ9sSxONpchst6ahtXioiIiIiIyPnjtAqxBQUFREdHeyoWnnrqKW6//XZuvvlmbrzxRoKDg1mzZg2LFi2iR48e/O53vwNg165d7N69m/bt29OhQwcAevTowbhx45gxYwYlJSVccsklbNmyhS+++IKhQ4ces4ibm5vLRx99xBNPPIHVanWPjxo1iocffphnn32WyMhI/vvf/zJ27NiTWuUrItIcRQV4MTopitFJUbhcLvYWVNa3MUgrYuOhEkqqa1i8J5/Fe/Lrz/e3Mah9OL1bBNCnVTA+VlMTz6D5cHkFU93pRqo73YixPAtb6gJse+ZiyduCLX0ptvSluMxe2ONGYk8YgzNuCHBivYNERERERETk/HJam3X97ne/w2Kx8O9///uk+6Yey/bt23nzzTdZt24d1dXVxMbGMmrUKG6//XZ3ofSNN97gzTff5L777uP//u//3NfW1NQwdepUZs2aRXZ2NlFRUYwaNYq77roLL6+jr+h67LHH2Lx5M/PmzWtUZHW5XLz99tt89tln2O12Ro4cyeTJk/H19T3pOeXnn/9NicPC/M/7eZ4NyqXnKJenpqa2jh055e7VslsyS6mp+zmBVpOB3q2CGRQfwiVtQ4nwP3bv7QuZqWgvtpS52PbMxVyy3z1eZwvE2HE0ZaE9cYYlURvcDoyn9X+iFzR9n3uOcuk5yqXnKJeeo1x6jnLpOcqlZymfnqNces6FksuGeZ7QuadTiJ0+fTr/+te/CA0NpU+fPoSFhR2xYtRgMHD//fef6kOcFy6UF9z5Ps+zQbn0HOXSM6qctSRnlLApu4JF27LIKKludPyiSD8GxocyKD6UxHBfj/2n3HnD5cKct6V+k6+U+ZgqcxofNtmoCb2ImvDO1IQn1f8e2h5MKnCfCH2fe45y6TnKpecol56jXHqOcuk5yqVnKZ+eo1x6zoWSy7NWiG1oC/DrwRjYuXPnqT7EeeFCecGd7/M8G5RLz1EuPachl3l5pewrqGR5agHL9xayLauUX6Y20t/GoPhQBsaH0LNlEFazWrk0UleLNWs1gVk/4Dy4EVPedozO8iNOcxnN1IS0ry/Mhh0uzoZ1BItPEwTdvOn73HOUS89RLj1HufQc5dJzlEvPUS49S/n0HOXScy6UXJ5MIfa0Pg/58ccfn87lIiJyDjEYDLQN9aVtqC+T+raioMLBqn2FLN9bwJq0InLK7HyxOZMvNmfiYzHRv00wg+JDubhNCEHelqYOv+kZTThbDoBuv6EkvwxXXR2mkgOY87Zhztvq/t1oL8aSvx1L/nZgBgAuDNQGt/t51WxYJ2rCk3DZApt2TiIiIiIiInLCTqsQu3z5coYMGUKvXr08FY+IiJwjQn2tjO4cxejOUVQ7a1l/sJjlewtYsbeQ/AqHe8MvowG6tghk0OEWBq2CvZs69ObBYKQ2qC21QW2xJ4yuH3O5MJZlYM7/ZXF2G6bKHMxFKZiLUmDPHPctagNaUxOehLOhtUFYEi6fsCaakIiIiIiIiPya0yrETp8+naCgIBViRUQucF4WE5e0DeWStqHUjXCxM6f8cFG2gJS8CjYdKmHToRJeW7aP1sHe7qJs55gATEb1lXUzGKgLaIkjoCWOtr9xDxsrcuqLsvnb3QVaU9lBTKVpmErTsO39yn1urW9U456z4UnU+UbXf15GREREREREmsxpFWJ9fX09FYeIiJwnjAYDnaL86RTlzz0D4sgqrWbF3gKW7y1gw8ES0oqqmLb+ENPWHyLI28KAtiEMig+lX+tgfKympg6/WarzjcThG4kjbrh7zFBdhDlve6PVs6bifZgqsjFVZGM78N3P13uFuIuyDatn6wJaqzgrIiIiIiJyFp1WIfaBBx7ghRdeIDQ0lP79+xMaGorJdOQP0UajNmwREblQRQd4Mb57C8Z3b0G5vYafDhSxfG8BP+4vpLjKyVfbc/hqew4Wk4HerYIY2DaUgfGhRPrbmjr0Zs3lFYwz9hKcsZe4xwyOckz5O7DkbXWvnjUV7sFYXYj14DKsB5e5z62zBlAT1rHR6tnaoHgwqhguIiIiIiJyJpxWIXbq1KlUV1fzyCOPHPMcg8HAjh07TudhRETkPOFnM3Np+3AubR9OTZ2L5IwSlh9eLXuouJof9xfx4/4i/rk4lQ4Rfu4WBokRvhi0evO4XFY/amL6UBPT5+fBmmrMBbt+3hQsfxvmgl0YHaVYM1djzVz98/Vm7/ribFjSz60NQhLBZG2C2YiIiIiIiJxfTqsQGxYWRliYNgUREZGTZzYa6BkbRM/YIP44uC0HCqvcRdmtmaXsyi1nV2457/6URoSftb4o2y6Uni2DsJr1SYsTZvaiJrIbNZHdfh6rdWIqSnEXZy352zDnbcdQU4klewOW7A3uU11GCzWhHdybgdWEJ1ET2hEs2nRNRERERETkZJxWIXbatGmeikNERC5gBoOBNqE+tAn14ZY+sRRWOli5r5AVewtYfaCI3HIHM5OzmJmchY/FRL+4YAbFhzKgTQhBPpamDv/cY7JQG9aR2rCO2C8aXz9WV4up5MDhfrNbD28Otg2jvQRL3lYseVvdl7sMRmqDExptCFYT1gmX1b+JJiQiIiIiItL8nVQh9u9//ztjxoyhY8eOjcbLy8vx8fE5ohfswoULefLJJ1mzZs3pRyoiIheMEB8ro5OiGJ0Uhb2mjvXpxSzfW8CKfQXklTtYkpLPkpR8jAboGhPAwMMtDFqH+DR16Ocuo4na4Hhqg+OxJ46tH3O5MJYd+rkwe7gga6zKx1y4G3Phbtg9y32LmsC4Rj1na8KScHmHNM18REREREREmpmTKsR+9NFHJCUlNSrEFhUVcfHFF/PBBx/Qv3//Ruc7nU5KS0s9E6mIiFyQbGYjA9qGMKBtCJNd7diVU86Kwy0M9uRVsCmjlE0Zpby+fD+tg73dRdnOMQGYjeore1oMBuoCYnEExOKIv6J+zOXCWJlzuDC7zV2kNZVnYC45gLnkAKQucN+i1i+mcXE2PIk6n0hQz18REREREbnAnFZrggYul8sTtxEREflVRoOBjlH+dIzy564BcWSXVrN8b30Lg/UHi0krqiJt/SGmrz9EoJeZS9qGMCg+lL5xwfhaPfJXnhgM1PlG4fCNwhE34ufhqsL6jcDytmLO217/e8l+TOWZmMozse1f5D63zjucmvBOOH9RoK3zj1VxVkREREREzmv6qVRERM5ZUQFejO8ew/juMZTba1h9oIjlewv4cX8hJdU1fLUjl6925GIxGegVG8TA+FAGtg0hKsCrqUM/77i8Q3DGDsIZO8g9ZnCUYc7f3njlbFEKxqo8rOk/YE3/wX1unS3w583ADhdnawPbgNHUBLMRERERERHxPBViRUTkvOBnMzOifTgj2odTU+diS2YJy1MLWb43n4PF1fx0oIifDhTxwmJoH+HHoPj61bLtI/wwaCXmGeGy+uOM6Yczpt/Pg84qzAU7G6+eLdiF0V6CNWMV1oxVP19v9qlfORv2i+JscAKYtEGbiIiIiIice1SIFRGR847ZaKBHyyB6tAziD4PbkFZY5d7sa0tmKbtzy9mdW87Un9KJ8LPWr5SND6VXbBA2s/H4DyCnzuJNTVQPaqJ6/DxW68BUmIIlbyvm/MMbg+XvwFBTiSVrHZasde5TXSYbNaEdqAlLojaiM7S/GEytwKB/0oiIiIiISPOmn1pEROS8ZjAYiAv1IS7Uh4l9YimqdLBqfyHL9xay+kAhueUOZiVnMSs5C2+LkX5xIQyKD+GSNqEE+Wjl5VlhslIb3ona8E7AhPqxulpMxfvcLQ3qC7TbMTpKseQmY8lNhh3ADxBq9sYZ0ZWaqB44I3vijOqByye8CSckIiIiIiJyJBViRUTkghLsY+WqTlFc1SkKe00d6w8Ws2JvAcv3FpBX7mBpSj5LU/IxGqBLTACDDq+WjQvxaerQLyxGE7UhCdSGJGBvP65+zOXCWJqOOW8rlrxtmPO2YM1NxmAvwZq5GmvmavfltQGtcEZ2xxnVk5rIHtSEdQSTtYkmIyIiIiIicgqF2PXr11NbW+v+uqKiAoBVq1aRk5PT6NyNGzeeZngiIiJnjs1sZECbEAa0CWHy8Hbszi1n+d4Clu8tZHduOZszStmcUcrry/fTKtibgW1DGdQuhC4xgZiN6it71hkM1AW2xhHYGke7qzAYICzEl6LUTZizNmLO2YAleyOmwj2YStMxlabjlTIPONzSIKILzsge9cXZqB7U+UY18YRERERERORCctKF2M8//5zPP//8iPH333//iDGXy6UNUERE5JxgMBjoEOlPh0h/7rw4juzSalbsK2T53gI2HCwmvaiKTzYc4pMNhwj0MjOgbf1mX/3igvG16gMmTcZopDYkkZrgROhY39bAYC/FnJuMJXsD5uwNWHI2YrSXHNFvttavBc6oHtRE9cQZ2Z2a8CQw2ZpqJiIiIiIicp47qZ8c77vvvjMVh4iISLMSFeDFdd1iuK5bDBWOGtYcKGL53gJW7iukpLqGr3fk8vWOXCwmAz1bBjEwPpRB8SFEBXg1degXPJctAGfsQJyxAw8PuOr7zeZsxJLdsGp2F6byDEypGZC6oP40o5Wa8CR3OwNnVE/q/KJB/6ksIiIiIiIeoEKsiIjIcfhazQxLDGdYYjg1dS62ZpYebmFQQHpRFavTilidVsSLSyAx3JdB8aEMahdKhwg/fTKkOTAYqA2OpzY4HnuH6+qHHOWHV81udBdojdWFWHI2Ysn5ubVSrW/k4RWzh1sahCeB2bupZiIiIiIiIucwfZZSRETkJJiNBrq3DKR7y0D+MLgtBworWbG3gBV7C0jOLGVPXgV78ip4b3U6EX5WBsaHMrBtKL1aBeFlMTZ1+HKYy+qHs+UAnC0HHB5wYSxNq18xm7MRc/ZGzPk7MFXkYNr7Nba9X9efZrRQE9YRZ+ThlgZRPajzj9WqWREREREROS4VYkVERE5DXIgPcSE+3Nw7luJKJ6v21/eVXX2giNxyB7OSs5iVnIW3xUi/uGAu79qC1n4WWgV5YzapMNtsGAzUBcZhD4zD3v6a+jFnFZa8ZMzZP7c0MFblYclNxpKbDFv/A0CddzjOqB4/95sN7wIWnyacjIiIiIiINEcqxIqIiHhIkI+FKztFcmWnSBw1dWw4VMzy1PoWBrnlDpamFLA0pQAAi8lAXIgP7cJ863+F1/8e7mdVO4PmwuKNM6Yfzph+VEH9qtmyQ/WbgB1uZ2DO346xKg/b/kXY9i8CwGUwURPW8XCf2R44I3tQFxinVbMiIiIiIhc4FWJFRETOAKvZSP+4EPrHhfDX4e3Yk1vB8n0FbMgoZVdWKRWOWlLyKkjJq2h0XYCX2V2cjQ/3JSHMl/gwX3yspiaaibgZDNQFxGIPiMWeOLZ+rKYKc942LNkbseRswJy9AVNFDpa8rVjytuK97SMA6rxC6lfMRta3M3BGdAOrb5NNRUREREREzj4VYkVERM4wg8FA+0g/OkT5ERbmT15eKZkldlLzK0jNq3D/nl5USWl1DRsPlbDxUEmje8QEetUXZQ+vnE0I86VlsDdmo1ZZNimzNzXRvamJ7l2/ahYwlmW6V8xacjZizt2KsboQ24HvsR34HgCXwUhtSHuchzcCq4nqSW1QW62aFRERERE5j6kQKyIicpYZDAZiAr2ICfRiUHyoe9xeU8eBwsqfi7OHC7T5FQ4yS6rJLKlm2d4C9/lWk4G2oY2Ls/HhvoT6WNTeoAnV+cfg8I/B0e6q+oFaO+a87e5NwCzZGzCVZ2Au2Im5YCfe26fXX2cLPFyU7YEzqic1Ed1w2QKacCYiIiIiIuJJKsSKiIg0EzazkfYRfrSP8Gs0XlzlZG9+fRuDhuLs3vwKqmvq2JVbzq7c8kbnB3lb3D1nG4qz8aE+eFnU3qBJmGzURNUXWOlaP2SsyK4vyuZsxJK9EXNuMkZ7Cbb0pdjSlwLgwkBtSOLhlgb1xdna4HZg0CZvIiIiIiLnIhViRUREmrkgbws9Y4PoGRvkHqtzucgsqXYXZxsKtYeKqyiucrI+vZj16cXu8w1AbLA38WG+tAvzoV24H+3CfGkR6IVJ7Q3OujrfKBzxV+CIv6J+oNZRv0I2e8PhfrMbMZWmYy7cjblwN+z4b/111gBqIrvjjOxev2o2sjsur6Cmm4iIiIiIiJwwFWJFRETOQUaDgZZB3rQM8mZoQph7vNpZy/7CSlLyfi7O7s2voLDSSXpRFelFVSxN+fk+NrPRXZyND/Ml4fBK2mAfaxPM6gJmslIT0ZWaiK5Ud7kNAENlnrsoa87egCU3GaOjFOvBZVgPLnNfWhPc7vCK2R44I3tQG9IejFr9LCIiIiLS3DS7Quzu3buZMmUKa9eupby8nPDwcIYPH879999PQMCv90mrra1l2rRpzJgxg4yMDMLCwhg1ahT33HMPXl5e7vNcLhevvvoqn332GUajkZEjRzJ58mR8fHwa3e+FF17ghx9+YMGCBZhM+oFGRESaPy+LiYsi/bko0r/ReEGFw71ytqEH7b6CSuw1dezILmNHdlmj80N9rUcUZ9uE+mIz62PxZ4vLJxxH28twtL2sfqCuBnPBLvdGYObsjZhL9mMuSsVclIrXrs/rT7P4UhPRrX7F7OHirMs7pAlnIiIiIiIi0MwKsfv27WPChAmYzWZuuOEGoqOj2bx5M5988gmrV69mxowZ+Pr6HvP6p556ihkzZnDZZZcxceJEduzYwTvvvMO2bdt477333BuXLFiwgLfffpubb76ZiIgI/v3vf2MymXj88cfd98rKymL69On861//UhFWRETOeaG+VkJ9rfRtHeweq61zcai4yt13tmGDsIziagoqHBRUOFiTVuw+32iAVsHetAvzdRdo48N8iQn0wqjNwc48o5ma8CRqwpOoTpoIgKGqsNEmYObczRidFVgzVmHNWOW+tCYwjpqonofbGfSgJrQDGJvVPwNFRERERM57zepf4M8++yxOp5OZM2cSHx8PwIQJE+jYsSPPPfcc06dP56677jrqtcnJycyYMYPx48fzzDPPuMejo6N57bXXWLhwIVdcUd+Hbe7cuXTu3JlHH30UgOLiYj799FMee+wxd7H2tddeo2PHjowYMeJMTllERKTJmIwGWof40DrEh+GJ4e7xSkct+woaF2dT8yooqa7hQGEVBwqr+H5Pvvt8H4uJ+F+snq1vdeBLoLelKaZ1QXF5h+CIG4Ej7vC/V+pqMRXu/nkTsJyN9StmSw5gLjmA1+5Z9deZvXFGdK0vzkb2oCa6B+B/7AcSEREREZHT1mwKsXa7nXXr1tGrVy93EbbB2LFjee6551i7du0xC7Fz5swBYNKkSY3GJ02axFtvvcXs2bPdhdisrCw6duzoPqd169ZUVVVRWFhIaGgou3fvZt68eUyfPt2DMxQRETk3+FhNJEUHkBT9c0sgl8tFQYWDlMNF2Yb+s/sLK6l01rI1q4ytWY3bG0T4Wd1F2XaH2xvEhfhgVXuDM8doojasI7VhHanudBMAhuoizDmbsWRvwJKzCXPOpvpes5mrsWau/vnawFj8Q5PqC7ThnamJ6ILLK/gYDyQiIiIiIier2RRiLRYLX3/9NXV1dUccy8+vX3Xzay0CkpOT8ff3P6KI6+PjQ0JCAlu2bHGPhYWFUVJS4v66qKgIs9lMYGAgAC+99BJDhgyhZ8+epzUnERGR84XBYCDMz0aYn43+cT/3G62prSO9uKpRcXZvfgWZpXZyyx3kljv46UCR+3yT0UDrw+0NGoqz7cJ9ifK3uT+VIp7l8grG2XooztZDDw/UYSpKrW9lcHjlrKlwD4aSg9hKDmLbt9B9ba1/LDURXXBGdKEmvAs14Z1xeQU1zURERERERM5xzaYQazQaiY2NPeqxqVOnAtC3b99jXp+dnU10dPRRj0VGRrJjxw7Kysrw9/fn4osvZsqUKSxbtozIyEhmz55N//79MZvNrF69mlWrVjF//vzTn5SIiMh5zmwy0jbUl7ahjXu4l9tr2NuwOVh+Jal55aTmV1Jmr2FfQSX7Cir5dnee+3xfq6lxcfbwn/1szeafKucPg5HakERqQxKh4/UAGB2lhDr2UZGyGlPeVsy5yZhLDmAqO4ip7CC2vV+5L68NaH24MNuZmoiu1IQn4bIFNtVsRERERETOGc3+p5vZs2cze/ZsoqOj+e1vf3vM88rKymjVqtVRj3l7ewNQWVmJv78/t9xyC+vXr+fOO+8EoF27djzxxBO4XC5efPFFxo4dS7t27Tw2h/N9gU/D/M73eZ4NyqXnKJeeo1x6zoWUS38vM91aBtKt5c8FOpfLRU6Z/XBhtoLU/HJS8yo5UFhJhaOW5MxSkjNLG90nyt/WaOVsfXsDb8wm4wWVzzPOKwBaDKQ6oBsuV/2QwV6COW9bfVE2dyvm3C2YStPcv0hd4L68NjDucFG2vqVBTURnXNYLs+esXpeeo1x6jnLpOcql5yiXnqV8eo5y6TkXSi5PZn4Gl6vhn9vNz8yZM3n88cex2Wx89NFHdOnS5ZjnJiUl0alTJ2bMmHHEsT/+8Y8sXLiQlStXEh5evxmJy+XiwIED2O122rVrh9ls5quvvuKRRx5h0aJFREZGMnXqVGbOnIndbufSSy/lgQcecBd1RURExDMcNXXsyy9nd3YZu7LL2JVVyu7sMjJLqo96vsVkID7cjw5R/rSPCqBDlD8dov2JCvBSe4MzrbIQspIhazNkbqr/VZx+9HND20FMd4judvj3LmC7MIuzIiIiIiLQjFfEvv7660yZMgU/Pz/eeeedXy3CAvj6+lJVVXXUY9XV9T/IBQT8vOmIwWCgTZs27q8dDgevvPIKN998M1FRUcyZM4dXX32V559/nsjISCZPnozD4eDpp58+6bkUFJTRfMvdp89ggNBQ//N+nmeDcuk5yqXnKJeeo1weW5jZQFjLAAa0DABaAFBa7WTv4dWzv9wkrMJRW1+wzS4DMt338LeZaRfuQ7sw3/pNwg6voFV7g+M78demBQJ71f/qcPjaqiLMeVsOr5pNxpy3FVPZIShIrf+19QsAXBioDY7/uaVBRGdqwpLA6vsrj3fu0fe55yiXnqNceo5y6TnKpWcpn56jXHrOhZLLhnmeiGb3k4nT6eTRRx9l7ty5REREMHXqVDp06HDc61q0aEFGRsZRj2VnZxMcHIzNZjvm9Z999hllZWXudgVz586ld+/ejB07FoAJEybw9ttv89RTT530ahuXi/P6BdfgQpnn2aBceo5y6TnKpecolyfG32ahW4tAurVo3N4gq9ROan4FqfkVHCy1syOjhLTC+v6zmw6VsunQ0dsbxP+i92xccH17A2nsVF6bLq9gHLGDccQOdo8Zqgow527BkveL4mx5JuaiVMxFqbBnTv21GKgNTqgvyoYf3hQsrBNYfDw5rSah73PPUS49R7n0HOXSc5RLz1I+PUe59Bzl8mfNqhBbW1vLn//8Z7799lsSExN59913j7kB1//q2rUr27dvJz09vVGv2IqKClJTUxk4cOAxry0vL+ett97irrvucq+azc3NpWPHju5zQkJCsNvtFBYWEhoaeoozFBERkdNhMBiICfQiJtCLwe1CCQvzJz+/DLuzjgOFlaS6NwirX0GbW+4gu8xOdpmdlfsK3fcxGw3EhfgQH+bTqP9spL9N7Q08wOUdirP1UJyth7rHDJX5/9/encdFVe5/AP+cMzu7gICKuIvpFZcsc6ubueRWabllppaZlllZVnbbl9vNzCytmy0uqam5p3HTtNL8WVqZormlqKjsOwPMfn5/zHBgYFCwAzOjn/frxWvgzDPDc74+o/Dxme+BJisJ6kzXR1YSVMXpUOedhDrvJHBivfOxgugKZxNgbZjg7Dkb0R7QsD0UEREREfk3nwpi58+fj+3btyMhIQGff/65WyuByxk2bBi+/PJLfPbZZ27tA5YuXQqr1YoRI0ZU+9hPP/0UBoMB9913n3wsJiYG58+fl79OSUmBVqtFgwYNanlWREREVNe0ahFto4LQNirI7XhZe4O/ssoD2rL2BmW7archSx4fpFOhVUR5MFvW5iBY71M/MvklKSASlmZ9YWnWVz4mFGe67ZpVZyZBVZIBde4JqHNPQH/c1dZAUMEe3gbWhp3k3bO2yPaAWu+t0yEiIiIiqjWf+a3i/PnzWLx4MQRBQP/+/fHDDz9UGRMREYHevXvj+PHjOHHiBOLj4+W2BV27dsWIESOwZs0aFBQUoHfv3khKSsLatWtx6623ol+/fh6/b2ZmJpYtW4aXX34ZWq1WPj5s2DDMnj0bb7zxBqKjo7Fq1SrcddddEEW+jZGIiMhfhOg16BIbii6x7u0N0ovMOJVV7LaD9mxuKYxmOw6lFuJQqnt7g+hgXYXes85dtM3DA6Bhe4O/RQqMgiXwNlia3yYfE4vT3frNajKTIJZmQZ1zHOqc48Bx54VZJVENe4O2znYGUQmucPY6QFV9KyoiIiIiIm/ymSD2p59+gs1mAwC8++67Hsd07doVvXv3xnfffYeFCxdi+vTpbv1jX3/9dcTFxWH9+vXYuXMnYmJiMG3aNDz88MPVvs1wwYIFaNq0Ke68806348OHD0dGRgZWr14Ns9mMYcOG4dlnn1XobImIiMhbBEFAoxA9GoXo0adVebshq728vcGprBI5oM0oMssf/3emvL2BShTQPNxQHtC6WhzEsL3B3+IIjIGlRQwsLfo7D0iSK5xNcl0ULAmarCSIpTlQ5xyFOucocGy1c6iohi28XXkwG5UAW0Q8w1kiIiIi8gmCJLFdbl3Lzr76rw5X1qPvaj7P+sBaKoe1VA5rqRzWUln1Vc8ik62872yFHbRGs93j+ECtSg5mK+6gDdFr6m6Sf5PfrU1JgmhMgzrrENSZh6HJOgR1ZhJEU17VoaIGtojrYGvY0RnMRnWCLbwtoNJ6eOK/z+9q6cNYS+WwlsphLZXDWiqL9VQOa6mca6WWZedZEz6zI5aIiIjIFwXr1egcG4rOldobZBSZ5YuCOQPaEpzNLUGxxY6k1EIkVWpvEBWklXvPlgW1zcMDoFWzvUGtCQIcwY1hCW4MS8tBzmOSBLHoItRZh6DJPCzvnhXN+dBkOXfR4uhK51BRC1vkdfKuWWvDBNjD2wIq3w3LiYiIiMj/MYglIiIiqiVBEBATokdMiB69W7q3NziXV4rTWeU7aE9lFSO9yIxMowWZRgv2ninftakSBcQ1MLhdGKxNw0A0CmF7g1oTBDhCYmEJiYWl1RDnMUmCWHRebmfgbG9wGKK5AJrMQ9BkHgL+dA1V6Zw7Z6M6OfvONuzoDGdF/rhMRERERMrgT5ZERERECtGoRDlUHVjhuNFcob1BVll7gxIUmW04k1OCMzkl+O5Eljw+UKtCy4jytgZlO2hDDdyxWSuCAEdIHCwhcbC0Huo8JkkQC8+5ds06Wxuosw5DtBRCk3kQmsyDMLgeLqn1sEW0l3fN2qISYG/QmuEsEREREV0R/hRJREREVMeCdGp0ahKKTk3c2xtkGi3OtgZZxfjL1X/2TI6zvcHhtEIcTnNvb9AwSCuHsm0aOgPaFmxvUDuCAEdoc5hDm8PcZpjzmOSAquAs1FmHK1wU7DBEqxGajAPQZByoEM4aYIvs4No16wpnw1oBosprp0RERERE/oFBLBEREZEXCIKA6GAdooN16NUiXD5uK2tvUGkHbWqhGVlGC7KMFvxytkJ7AwGIaxDgdmGwVpGBaByqh8j2BjUjiLCHtYQ9rCXMbe50HpMcUOWfkXvNqrOSoM46AtFaDE36b9Ck/yY/XFIHwNbwH7BGJcAe1RGwdQOkKEBtqOYbEhEREdG1iEEsERERkQ9Rq0S0coWpAyocN5ptSM4pqXSBsGIUmmw4k1uCM7kl2HGyfHyARoWWkQFyq4TWrh20YWxvUDOCCHuDVrA3aAVz2+HOYw47VAVnoM485Oo762xrINhKoEnbD03afue474BIAPagRrCHtpRDXudHC9iDm/LCYERERETXIAaxRERERH4gSKdGQuMQJDQOkY9JkoSssvYGFXbQnsktQYnVjiNpRTiSVuT2PJGB2vK+s64dtC0jA+v7dPyTqIK9QWvYG7SGOf5u5zGHHar80/KuWU1mEjT5pwBTPlTGNKiMacDF/3N7GklQwR4S5x7OugJbR1AMILDVBBEREdHViEEsERERkZ8SBAFRwTpEBevQs1J7g5T8UrcLg53KLkZqgQnZxRZkF1vwy7ny9gaiADSPDETzMIMrpA1Ay8hAxIYZoBbZ3uCSRBXs4W1hD28Lc7t7IAhAZGQwcs6nQMxPhkr+OAN1fjJUBckQbCaoC85AXXAGOLfT7ekktR720ObOgDa0JWwVwlpJHw6w3QQRERGR32IQS0RERHSVUatEtIwIRMsI952uxRYbkl2hbMUdtAUmG5KzipGcVYzv/8qWx2tVApqHB8gXCGvlCmmjg3UQGAhekmRoAJv+ethirq90hwNicTpU+WdcH85wVpWfDFVhijOkzTkOdc7xKs/p0IXCHtrCfSdtWEvYQ1tA0gbV05kRERER0ZViEEtERER0jQjUqtGxcQg6VmpvkFtiQZZVwoHT2c5dtDklSM4uhsnmwMmsYpzMKq70PCq0jHCGsuUhbQAaBGjr+5T8jyDCEdQYjqDGsMb2cr/PboVYdMG1c/aM225alfEiRHMBxMyD0GQerPK09oBo2MPKd9LKYW1oHKDS1c+5EREREdElMYglIiIiuoYJgoDIIB3aRQbjugZ6SJLzuEOSkFpgwunsEiTnFLsC2mKczS1FscWOw2mFOJxW6PZc4QEatIwMRKuI8oC2RUQAgnT8kbNGVBo4wlrAEtai6n3WUqgKz5YHs/lnoHbtpBVLc6AqyYCqJANI3ef2MEkQ4QiOhT2sBWyh7jtpHUFNAFFVTydHRERERPypmIiIiIiqEAUBsWEGxIYZcEvrCPm41e5ASl4pTmc7d86edgW0F/NNyC2xIjclH7+l5Ls9V6MQHVpFBrrtom0eHgCdmhelqjGNAfaI62CPuK7KXYK5oLzNgdtu2jMQrUaoClOgKkyBFrvcHieJWlc/2hblbQ7CWsIW2hJSQEP2oyUiIiJSGINYIiIiIqoxjUp09Yp17z9barXjTE6JM6DNdt3mFCPLaEFaoRlphWbsSc6Vx6sEoGkDg/O5IniBsL9D0oXCFt0ZtujOle6QIJRkyTtny8PaM1AVnIXgsECddxLqvJNVntOhCXLrQVtxJ62kC62fEyMiIiK6yjCIJSIiIqK/zaBRoX1MMNrHBLsdLyi1IlkOaF27aLOLUWiy4WxuKc7mlmIn3C8Q1qJs52wELxD2twgCpMAoWAOjYG18k/t9DjtE40W3nbTOwPYMxKILEK1GiFmHock6XOVpHYYIeees227a0OaA2lA/50ZERETkhxjEEhEREVGdCTVo0CU2FF1iy3dRSpKE7GJLpd2z5RcIO5FpxIlMo9vzBGpVcihbMaDlBcKukKiCIyQOjpA4WONucb/PboaqIMVjqwNVSQbE0hyIpTnQpP1a5WntQU3c2hzYQ1vAFtYSjpCmgMhfPYiIiOjaxp+GiIiIiKheCYKAhkE6NAzS4abm4fLx8guEubc3KLtAWFJqIZJSPV8grHWFi4S1jAxAoJY/5l4xlQ728Dawh7epcpdgMbqC2Qo9aV1hrWgugMp4ESrjReDCHrfHSaIa9pA4VzjbskJY2wKOwBhAYL9gIiIiuvrxJ1QiIiIi8gnuFwgrP261O3AurxTJZe0NsktqfIGwirtom4cHQMsLhP0tkjYItoYdYWvYsdIdEgRTXnmbg/xkqArK+tGegWAzQe06XuU51QZXH1rn7tmy3bSOsJYAgquMJyIiIvJXDGKJiIiIyKdpVCJau3a9VlRqtbv1n012BbQ1vkBYQ+cu2tgwA1S8QNjfIwiQDOGwGcJha9QN5or3SQ6IxnTXztlk9920hSkQbKVQ5xyFOucodJWfV21AA10oJF0oHLowSLpQSPryzx2u+yRdKBz6MEi6MPkYVJr6O38iIiKiGmAQS0RERER+yaBRoUNMMDp4uEDY6Zzy9gbJ2cU4lV2CIrPnC4Tp1CKahwfwAmF1RRDhCG4MR3BjWJv2dr/PboWq6LzHVgcqYypgK4XKVgoUp9f620rqAFc4Wx7Yloe5YRWOhVY4FgZJF8J+tkRERFQn+BMGEREREV1VQg0adI0NQ9fYMPlYxQuEncqusIs2pwRmXiDMe1QauRUBcJvbXYKtFJG6YuSlp0IwFUA05UMwF0Aw50M0F0AwF0A050MwlX3uurUUuh5fApWxBDCm1npaDk1QhV22lQJbXZiHgNcZ5EraEEBUKVEZIiIiugoxiCUiIiKiq15NLxB2yhXQnsu79AXC5P6zvEBY3dEYgPAo2B2RkKRaPM5hh2AphGCqGNi6AlyT87bqMdc4qzOMF61GwGp0XnislhzaEPdw1kNgK+/MdQt4Q3jRMiIioqscf1okIiIiomtWTS8QVraL9mJB+QXCfq10gbDGrguEtW0cijCNiJhgHRqF6BETokOIXs02B/VFVEHSN4CkbwBHbR9rt0KwFDpDWlOlwNZcUGH3bb77zlxTAQRbifPbWwoBSyFURedr9a0lCJB0IW59bj3tyC3rhesW4mqDAa4vIiIin8cgloiIiIiokuouEFZiseNMbnlrg7KdtNnFFqQWmpFaaMZPFS4QViZAo0JMSHkw2yhEj0YhOsS4biMCtRAZpHmfSgPJEAG7IaL2j7VbIJgLXSFtxVYKBeXHqgtzbSYIkCCYCwBzAWrb3EASVJB0Ie7tEyr0woUuFIhoCJ0JcIg6QG2ApNY7P1R6QK2HpNJBUrs+V+vZJ5eIiKgO8F9XIiIiIqIaCtB6vkBYfqkVyTnFSM4uQY7ZjuSMIqQVmpBeaEZeqRUlVjuSc0qQnFPi8Xk1KgHRwa5gNtg9sI0J0SE6WAeNim9b92kqLaSASNgDImv/WLvZ2QfXrQduxbYJldosmCocs5shSHYIpjyIprxLfpvgS97rThLVVUJaOahVlX2ukz+vcl+Fxzi/1lcNfyt9zf66RER0tWMQS0RERET0N4W5LhB2fdMwREYGIzu7SO5rarLakV5oRlqRCWmFZqQXut9mGc2w2iVcyDfhQr7J4/MLABoGaeUdtJVvG4XoYdAwxPJbKh2kwCjYA6Nq/1hbqRzOlu28LQ9s8+Xdt3qYYCkthmAzATaTcxeu3fW53ez62iw/reCwQXA4e+XWF7fw1y2k1VUIf8uPS2qdW/jrHgbr3MNftcE9VGb4S0REXsAgloiIiIioDuk1KjSPCEDziACP99vsDmQaLfIOWrfbImdga7FLyDRakGm0ICnV8/cJ1aur7KSt2AIhlH1qr05qAxxqAxAYA3s1QwQB0EcGo7DCfxB4JDkAmxmC3QTBVuoMbctC2rIA124q/7rCfc6vTeWBboXjcuDr6T6HpXyeXgl/NRV27Oo87thFxfBWoweCghBQagUgQBJEAEKFHr1ln1e8FV1jXWPKjlceU+E5pCrPUc3tFY11zaFs7h7HOse4n1/FMRXOQxAhVXkOD7Uoq4Pra0EA4AiFUKqGpAsDVLq//wdKROTjGMQSEREREXmRWiWicagejUP1Hu93SBJyS6xVdtJWDGyLLXYUmGwoMBlxPNNziGXQiG47aGMqtUCIDGKf2mueIAIaAySNARIa1M/3dNidga7dXB7+VghwPYbBl7qvujC4YlDssJafssMKwWIFUFSraXv+bxW6EmUdmSV1ABz6Bs4L0ukbwKFv4Ox3XHbxvbLjuor3h3JXMxH5FQaxREREREQ+TBQERAZqERmoxT8aeR5TZLIhrVJQm16hFUJuiRWlVgfO5JTgTDV9atWis09tda0P2KeW6oSoAsQASJqA+g9/q+zYLZXbNFRp3yDvFDYhQAuUlpohSRIgOSBAAiABEly3kvstnOMgocLYy996HOv2nJ7GosL38zS24hwcVb8v4P68kqPSc6Ca53VAkLdbX7oGgOQaK0GUbJDMhRAkBwRbCVTGEqiMF2v3x1l2gboKAa5bWKsPqxLqStrgCjt3iYjqD4NYIiIiIiI/F6xXI1gfhLZRQR7vN1ntcpuD6vrU2hwSLhaYcLHABKCgynMIACKDtIgJrhrSlu2qDdByZxr5Abfwt3YEAQiIDEbx5do80GUJAhAZGYycrALAVChfcE4058ufC6Z8iGbXrcl1vOx+i3MXs2guAMwFUBWeq/H3lgSVx4C2YoDraQcu1HoGuET0t/h0EHvo0CGMHTsWn332GXr27Fmjx2zcuBHLli3D2bNnERQUhP79++OJJ55AaGio27jly5dj0aJFMJvN6N27N1588UWEh4e7jVm5ciUWLFiAHTt2ICjI8w+1RERERES+Tq9RoXl4AJqHV9On1iEhy+je7qBiUJtRZIbZ5kCW0YIsowWH0zx/n1C9uvoLigXrEWpgn1oiqkQQIenDnMEoWtT8cXar82J0pjz3gNaUVzW0NeVBMOc7b20mCJIdQmkOxNKcWk1VUuk8t0jQh8Ghq9RCQR4TBqi0tasJEV21fDaIPXv2LB599FHY7dW1nK9q0aJFmDdvHnr06IFZs2bhwoULWL58OQ4cOIA1a9ZAr3f23fr999/xxhtvYOjQoUhISMCiRYswe/ZsLFq0SH6u4uJifPTRR5g6dSpDWCIiIiK6qqlFwXVhL899aqVKfWorX1AsrdAEo7m8T+2JavrU6tXiJS8oFhmohUpkUEtENaDSQAqIhD0gsnaPs5WWB7UVA1pThVv5mCvUNec5LyZnN0NVnAEUZ9TqWzo0gZfue6sPg6Sr1B9XG8L+t0RXIZ8MYr/77jv861//QkFB1bdEVSctLQ0LFixAnz598Mknn0AUnf2r2rVrh2eeeQbLly/HQw89BADYtGkTGjZsiDlz5kClUkGtVuO1115DdnY2IiOdf4kvXrwYOp0O9957r/InSERERETkRwRBQESgFhGBWnSopk+t0eyhT22F4Da3xAqTzYEzuSU4k+u5T61KFBAdpJV30cZGBkGy2aFXi9CpVdBrROjVIvQaVTW3IvRqFTQqgTtvicgztQGOIAMQ1Ag13vYlSRCsxvKwtnJQW12oay6AAAmitRiwFkNVdKHG05QgQNKFeGybILdVqHBcMjQAwlpfUUmIqP74XBA7ZcoU7Nq1C61bt0afPn2wdevWGj1u69atsFqtuP/+++UQFgDuuOMOvPvuu9iwYYMcxKalpSE2NhYqlfN/l5o1awYASE1NRWRkJLKzs7F48WK8+uqr0Gr5FgIiIiIiossJ0qnRpmEQ2jT0/G4ys82B9IqtDyr1rM0sMsPukJBaaEZqodn1qMwrmosoAPoKwa3uMsGtXiPCoFFBd5kxFW91apG7d4muFYIASRsMSRsMR0jTmj/OYYdgKayyu7Y8vM33HOpajRAgOVsvmAuAgrM1nSgaBEbBERwLe3AsHMFNnLdBTeSvJS3f8UvkTT4XxCYnJ2PmzJmYNGmSW6uAyzl06BAAoHPnzm7HBUFAQkICvvvuOxQVFSE4OBiRkZG4eLH8Sox5eXkAIPeIXbhwIZo1a4Zhw4b9zbMhIiIiIiIA0KlFNAsPQLNL9KnNNpqdQW2RM7C1QEBekQkmqx0mmwMmqwMmm73SrcN5v9UOu+viSQ4JKLHaUWKteZuzK6FVCW7BrU4tugXAnkJdZ+DL3b1E1wRRBUnfAHZ9g9o9zm6R+9+677DN99gTV77f1TpBVZwBTfrvHp/aoQt1hbKxsAc3Kb91hbWSIYIXJCOqQz4XxCYmJl7RLtT09HQEBAQgJCSkyn0xMTEAgIsXL6Jdu3bo2bMnNm7ciA0bNqBLly5YsWIFWrdujcaNG+PMmTNYu3YtPv74Y/7AQ0RERERUT9SigJgQPWJC9OiMUPmK6tm1uDq91V5dWFsptHW7dcBci/Fmm0P+fha7BIvdhsI6qglwZbt75VvXfQaNCg1zSmEqNkEjitCqRWhUInQqERqVAK1ahFbl/GDwS+QDVFpIAQ1hD2hY4/YJAiREGkzIP3cCQuEFqIouQixy3qqKLkA0XoTo2mErmguA7D89Po+k1sMe1KRSUNvYeRsUC0dQDCD6XJRE5Dd87tVzpa0AioqKEBgY6PG+sot0lZQ4e1ENHToUe/bswezZswE4g9qFCxdCFEW899576NatG/r06XNF8/Dkav85puz8rvbzrA+spXJYS+WwlsphLZXFeiqHtVQOa6mcK6mlVu0MGUPq8NcchyTBUu3u3GoCXKsDpR4CYF/a3VuRViU4g9qywFbtDGh1KhGaCqGtVi2UB7jq8mC37HHOMSK0FcJe5/NVen4PgbDWR1s/8DWuHNZSWYIgAEFRsMcYIEV3htXTGEsRxKKLEMvCWVdQKxZecB4ryYBgM0GdfxrIP+3x+0iCCo6gmEo7aZ2BrSMkFvagJoDGULcnW8e4NpVzrdSyNufnc0FsXZBc/4Ve1jtWFEXMmTMHjz/+OPLy8tC2bVtotVocPHgQ27dvx9q1awEAGzZswOLFi5Gfn48ePXpg9uzZcvuC2oiICFbuZHzYtXKe9YG1VA5rqRzWUjmspbJYT+WwlsphLZVzrdbSaneFtxY7Sq2uD9fnJqsdpRaHfLzyGJOn8VY7LDYHLK5dvRVvLXaH2/d27vS1o9hSf+GvJyrRGfTqNKLbrdbVo1erdoa5OtfF3MqCXPfxKnlc5duyx5QfU8lhvtt4lVhll/C1ui7rAmuprEvXMxhAYwA3eL7bZgYKLwL554GC8xVuU4CCC0DBBQgOq2uX7UVoqvs2AZFAWFMgNBYIjXN93rT81tDAL5I5rk3lsJblrpogNjAwENnZ2R7vM5lMAIDgYPc/+CZNmqBJkyby13PmzMGgQYPQsWNH7N+/H7Nnz8YzzzyDzp0745VXXsGsWbPw+eef13puOTk1fzuVPxIE54vqaj/P+sBaKoe1VA5rqRzWUlmsp3JYS+WwlsphLZ1EAIEAAtUCoFbjSn6Fu1wtHZIEq12C1e4MZ8tvJVjs5WGt87bSMbsDFpvzse7HpUpjnM9X9vzVPZ+jwvzsDgmlDmeI7G0alSDv1NVrVBDhDIrVogC1SoBadO7qVZcdE0XX8QofKtHta03Z16oaPMb1PdRu37PCMZX7YzSVHuOru4v5GleOcvVsCIQ0BEK6ApWvSyY5IBZnunbVXnDtqr0ot0EQiy5CtBqBkmznR+ofHr+DQxMIR3CT8ouJybfOzx0BUYCo+jsn8bdwbSrnWqll2XnWxFUTxMbGxuLPP/+E0WhEUJD7VQDT09MhiiKio6OrffzOnTuRlJSExMREAMCmTZvQtGlTPPjggwCAyZMn45lnnkFmZiaioqJqNTdJwlW94MpcK+dZH1hL5bCWymEtlcNaKov1VA5rqRzWUjmspXKqq6UAwdk+QCUi8Mo6xSnG5nAPhMuC3pqGv5cNk8vGVQqJKwbHVteYipxBddkuYU9v+vZtAlBteKtRieWhcg1CZI2qmgC4wuNUYqVw2kOQrFEJaFhkBcxWhOo1CNarfTIw9jd1+3emCHtgDOyBMUDM9R6/uWAukFsfyEGtsbxfrViaDdFaDDH3JJB70vM5iBo4ghqV96iVe9bGwhHcGPbgJoBKV1cnWfF0+O+PQljLcldNEJuQkIBt27bh8OHD6NGjh3xckiQkJSWhTZs2VQLaMna7He+++y5Gjx6NuLg4AEBmZiYiIyPlMWUtCdLT02sdxBIREREREdHlOYM6FQwa7+2GA5y/R8ohboWw1mp3IDDYgOxcI6x2CTaHw3Xr+rA7yj93SLC5xthdX1vL7q/4GIej0tfO57G6PrdX85wVv7ZWeo4q54OyMFkC4Khyvy8QAITo1Qg1aBAmf6jlz0MNGoTq3Y8F69UQ/eAt7tcMQYCkD4NdHwZ7ww6ex9hKoSpKLd9Ra0x171drTHO2PyhMgaowpdpvZQ+IqrqjtkK/WklX9ULuRL7gqgliBw0ahPnz5+Pzzz/HTTfdJPfw2bx5MzIzM+WdrZ5s2LAB6enpeOSRR+RjMTEx2LVrFxwOB0RRREqK8y+AS+2qJSIiIiIiIv8nCILzYmRqsdJxIDIyGNl60Wd3d0mSBLsED6Fw5RD4cl9XCI7rIGi2OSTYJCCv2IIisw0SgAKTDQUmG1LySmt0rqIAhOo1CK0U2FYMcp3hbflHkE5Vpecv1SO1AfYGrWBv0Mrz3nKHDWJxRpW2ByrjBXmnrWAzQVWSCVVJJjQZ1bQ/0Ia4B7XyrlrnMSmgoV/0qaWrj18GsefPn8eBAwcQFxeHLl26AHD2e506dSoWLFiABx54AIMGDcKZM2ewfPlydOzYEWPGjPH4XKWlpfjggw/wwAMPICIiQj4+bNgwrF27FrNmzUKnTp2waNEi9OrVi0EsERERERER+SxBEKAWALUXe2zWhBxqZxfBanOgwGRDfqkV+aVW+fMC19flH+XHiy12OCQgr9SKvFIrgJqFtypRQKheXSm0VbuFtWU7b8vuD9QyvK03olruH+uRJEEw5VYNaovKg1rRnA/RUggxpxDqnGOen0algz2osSucbVyh9UETOEJigfB2dXiSdC3zyyD2119/xezZszF8+HA5iAWA6dOnIyIiAitWrMBrr72GyMhIjB49GjNmzIBer/f4XMuWLYPD4cCkSZPcjnfv3h1vvPEGFi1ahF27dqF379548cUX6/S8iIiIiIiIiK41apWIiEAtImrRpNhqd7iCWptbWFtgcj9WIN/aUGK1w+6QkFtiRW5JzXv9qkWhwo5bT7tv1RUCXOeHQSMyvK0LggDJEAGbIQKI6uR5jKUYKuNF93C2rPVB0QWIxRkQ7GaoC84ABWc8P4cmAKHh8bBFtIct0vlhj7gOktZzy0uimhIkyVffUHH1yM6++q8OV/Y/mVfzedYH1lI5rKVyWEvlsJbKYj2Vw1oqh7VUDmupHNZSOaylcrxRS7PN4XGXbYGp8u7b8iDXbLuynrpalVDe29agQZi+6s7bysGu/m/0RubarAW7FWJxWjVBrXOXreCweH5oSDM5mC0LaR3BsWxzUI1rZV2WnWdN+OWOWCIiIiIiIiKi2tCpRUQF6xAVrKvxY0xWu7yjNr9KiGt1b6ngurXYJVjsEjKNFmQaPQd61c2vuv62oR4uXhZm0EBXqY8x1YBKA0dIHBwhcR7vFiQ7IoVMFJ76FeqsP6HKPgp1zlGoijOgKjwHVeE56JL/J493aENgi7wOtoj2sJeFtOFtAbWhvs6I/AiDWCIiIiIiIiIiD/QaFWI0KsSE1Gy8JEkotToqtEmo2t+2/LY8xLU5JJhtDmQUmZFRZK7x/Aya8vC2UYMAhGpFRARo0TBIi4hAHRoGaREZqEV4oBZqkbs2a0RUAZFtYREawdz6DvmwUJoLtSuUVWf/CXX2UajyTkG0FEKbug/a1H3yWElQwR7WyhnQunbP2iPbwxEQxd2z1zgGsUREREREREREChAEAQFaFQK0KjQO9XytmsokSUKxxV4e0Jpsl7xQWdmtXQJKrQ6UWs1IKzTjWIax+nkBaBCgQcMgHSIDtYgM0qKh6zYyUCd/zcC2epIhHNamvWFt2rv8oN0CVd4pZ0Cb7Qpoc45CNOVBnXcS6ryTwF+b5eEOQwRskR1gi7iuvPdsWGtApfHCGZE3MIglIiIiIiIiIvISQRAQpFMjSKdGbFjN3s4uSRKMZnt5UGuywiyIOJNeiGyjBVlGM7KLLcgutiCn2AKHBPkiZScuNRc4A9vIQK1baOv8Wuv6WoeIAA3UKrZFgEoLe6Rzt6u8j1mSIBanO3fM5hwr3z2bnwyxNAfa87uhPb9bfgpJ1MIW3ra8rYErpJX0DbxySlS3GMQSEREREREREfkRQRAQrFcjWK9G0waGS14Uye6QkFdqRbYrnM0yOgPabNdtltGMHFdga68Q2J7MKq7++8MZ2EZUCmgjAyvutHV+XHOBrSDAEdQIlqBGQPPbyo9bS6HOPV6hvcFRqLKPQbQaock+Ak32EbensQc1cl0QrINz52xke9hDmwPCNVbPqwyDWCIiIiIiIiKiq5RKFORQ9FLsDgn5pVa3gLZsV2220YKsYguyXaFtxcD2r0sEtgDQwKBxC2Yr9q8tC3EjArXQXO2BrcYAW3QX2KK7lB+THBALz8vBbNmHqug8VMY0qIxp0J3bWT5cbYAtop0cztoi2sMe0Q6SNsgLJ0RXgkEsEREREREREdE1TiUKiHCFovGXGOeQnIFt+c7a8p22ORV33BZb5N24eaWXD2zDDBpXSOu5f21kkBYRAVpo1VdRYCuIcIQ2gyW0GSwtB5UfNhdCnXMMqgq7Z9U5xyHYSqHJ+AOajD/cnsYe0szVc7Y8oHUEN+GFwXwQg1giIiIiIiIiIqoRURAQHqBFeMDlA9sCt8DWgqxis7zjtmJ4a3Ptxs2vQWAbqldfsn9t2c5bfw5sJV0IrI27w9q4e/lBhw2q/DMV2ho4Q1pVcQZUheegKjwHXfL/yofrQp27ZyPaw14W0Ia3BdQ1u4gc1Q0GsUREREREREREpChRENAgQIsGAVq0vcS4ssD2Uv1ry47bHBIKTDYUmGw4lX35wDbyUv1rXTtudf4S2Ipq2MPbwB7eBuY2d8qHhdKc8rYGZSFt3l8QzQXQpu6DNnWfPFYSVLCHtYIt8jq33bNSYJQ3zuiaxCCWiIiIiIiIiIi8omJg26Zh9eMkSUJBqc0Z0FbcWSv3r7Ugu9jZJsFqLw9sT2eXXPL7h+jVbv1rGwbp0LZJGMI1AmLDDGgYpIXow2/xlwwRsDbtA2vTPuUH7Waock+5957NOQrRlAd13kmo804Cf22WhzsMka5Q9jq5xYE9rBWg0njhjK5uDGKJiIiIiIiIiMinCYKAsAANwgI0aN0wsNpxkuQMYS/Zv9Z13GKXUGiyodBkQ3JOxcD2vPyZTi2iaZgBTRsY0DTMgLgGesQ1CEDTBgZEBGgg+GJIq9LB3rAD7A07wFx2TJIgFqdBnX3MuWu2bPdsfjLE0mxoz++G9vxu+SkkUQtbeFvYI9u7wlnX7ll9mDfO6KrBIJaIiIiIiIiIiK4KgiAgzKBBmEGD1pGXDmwL5cC2vBVCVrEFmSVWnM4oQmqBCWabA6eyiz22QgjQqNwC2vLPDQgz+FhIKwhwBDWGJagxLM1vKz9uLYU69zjU2X86Q9qco1BlH4NoNUKTfQSa7CNuT2MPaiyHsrbI9rBHtoc9tDkg+EmLBy9jEEtERERERERERNcUQRAQatAg1KBBqwqBrSAAkZHByM4ugtXmQGqhGSl5JUjJK8X5vFKcz3fephWaUWK140SmEScyjVWeP0inkkPZsh21zRo4b0P0PvSWf40BtugusEV3KT8mOSAWnneFs0ehznHtoi06D5UxFSpjKnRnd5QPVwc4Lwwm757tAFt4O0BXfRB+rWIQS0REREREREREVIlaJSKugTNMrcxic+BigckZ0LrC2RTXbUaRGUazHccyjDiWUTWkDdWrnQFthR20ZZ8H6XwgqhNEOEKbwRLaDJZWg8sPmwuhzjkGVcWANuc4BFsJNBkHoMk4II+VIMAR2gz45zNA0zu8cRY+yQf+dImIiIiIiIiIiPyHVi2iRUQAWkQEVLnPZLXjQoHJGc7muYe02cUWFJhsOJxWhMNpRVUeGx6gkXfQloXAZV8bNKr6OLVqSboQWBt3h7Vx9/KDDhtU+WdcFwZzBrSq7GNQlWRAVXAW+HMDg9gKGMQSEREREREREREpRK9RoXVkoMcetSUWu7yD9nx+qVvLg9wSq/xxKLWwymMbBmnLQ9qyC4g1MCA2VA+9t0JaUQ17eBvYw9vA3OZO+bBQmgN1/imEte4KlFzi8dcYBrFERERERERERET1IECrQnxUEOKjgqrcZzTbquygLQttC0w2ZBktyDJacOBCgdvjBABRwTo5oC1rdRAXZkCTMD00qvq/kJZkiIAtIAIICAZKqu78vVYxiCUiIiIiIiIiIvKyIJ0a7WOC0T4muMp9BaXWKjtoy/rTGs12ZBSZkVFkxm8p+W6PEwUgJkTvtoO27PPGITqovRDSXssYxBIREREREREREfmwUIMGoQYN/tEoxO24JEnIL7UiJa/U/cJhrs9LrQ6kFpiQWmDCL+fy3B6rEgU0DnHtpG0Q4LpwmB5NGxgQE6yHShTq8xSvCQxiiYiIiIiIiIiI/JAgCGgQoEWDAC06NQl1u0+SJOQUW+Q2Byl5Jrf+tGabA+fzTTifb8LeM+4hrUYloEmo3u3CYU1dbQ+ignUQBYa0V4JBLBERERERERER0VVGEAREBukQGaRD19gwt/sckoQso0XuR5uSW76b9kJBKax2CWdzS3E2t7TK8+rUImLD9HIwWzGsjQzUQmBIWy0GsURERERERERERNcQURAQHaxDdLAO3eLC3O6zOyRkFJmrXDQsJa8UFwtMMNscOJ1dgtPZJVWe16AREesKaOMaGDCuV0uEsQ2tjEEsERERERERERERAXD1jg3Vo3GoHt3RwO0+m0NCeqEJ58ouGlYhrE0rNKHU6sBfWcX4K6sYAHA0sxgf3v0Pb5yGT2IQS0RERERERERERJelFgXEhhkQG2YAWrjfZ7U7cLHAJO+gTS80Y9j1sd6ZqI9iEEtERERERERERER/i0Ylonl4AJqHBwAABAGIjAxGdnaRl2fmO9ilgYiIiIiIiIiIiKiOMYglIiIiIiIiIiIiqmMMYomIiIiIiIiIiIjqGINYIiIiIiIiIiIiojrGIJaIiIiIiIiIiIiojjGIJSIiIiIiIiIiIqpjDGKJiIiIiIiIiIiI6hiDWCIiIiIiIiIiIqI6pvb2BK4FguDtGdStsvO72s+zPrCWymEtlcNaKoe1VBbrqRzWUjmspXJYS+WwlsphLZXDWiqL9VQOa6mca6WWtTk/QZIkqe6mQkRERERERERERERsTUBERERERERERERUxxjEEhEREREREREREdUxBrFEREREREREREREdYxBLBEREREREREREVEdYxBLREREREREREREVMcYxBIRERERERERERHVMQaxRERERERERERERHWMQSwRERERERERERFRHWMQS0RERERERERERFTHGMQSERERERERERER1TEGsURERERERERERER1jEEsERERERERERERUR1Te3sC5NsSExOxYcMGpKenIzo6GnfffTcGDx7s7Wn5pYMHD2Ljxo1yLUeMGIHOnTt7e1p+ietSOVyXyrl48SK++eYbpKenIyYmBoMHD0ZsbKy3p+WXuC6VxbWpHNZSOXydK4frUjlcl8rhulQO16VyuC7JFwiSJEnengT5ppUrV+LNN99E9+7dER4ejpSUFBw5cgSzZ8/G/fff7+3p+ZVt27bhiSeeQNOmTREeHo4LFy4gNzcXc+fOZYBYS1yXyuG6VM7+/fvx0EMPAQCCg4ORn58PtVqNjz/+GDfddJOXZ+dfuC6VxbWpHNZSOXydK4frUjlcl8rhulQO16VyuC7rhtFoxO7du5GWloaYmBjccsstCAoK8va0fBqDWKrW4MGD8dBDD2H48OHysTfeeAM//PADdu7c6cWZ+Z8777wTw4YNw+TJkwEAdrsdzzzzDI4ePYr//e9/Xp6df+G6VA7XpXJGjx6Nzp07Y9asWVCr1SgqKsITTzyB3NxcbNy40dvT8ytcl8ri2lQOa6kcvs6Vw3WpHK5L5XBdKofrUjlcl8o7fvw4HnzwQeTk5MjHIiIi8Pnnn6Ndu3ZenJlvY4/Ya9xLL72E7Oxsj/cZjUY0adLE7VhMTAyMRmN9TM3vfPLJJzCbzR7vy87Oxg033CB/rVKp0Llz52prf63julQO16Vyvvnmm2rvS0lJwdChQ6FWOzv+BAcH47bbbkNKSkp9Tc+vcF0qi2tTOaylcvg6Vw7XpXK4LpXDdakcrkvlcF3Wr7feegs33XQTdu3ahaSkJGzduhVNmjTB66+/7u2p+TQGsde4Y8eOoX///pg/f36VIKt379549tln8fHHH2Pt2rWYN28e/vvf/6Jv375emq1vW716NQYMGIC1a9ei8kbzrl274uWXX8aWLVuwd+9erFmzBosWLcKNN97opdn6Nq5L5XBdKufFF1/EiBEj8PPPP1e577rrrsN7772HAwcO4Ny5c9izZw+++OIL/OMf//DCTH0f16WyuDaVw1oqh69z5XBdKofrUjlcl8rhulQO16Xy/vjjj2rvO3nyJCZNmoTo6GhotVq0bt0aw4cPx/Hjx+txhn5IomteYmKiNGDAAOmmm26Sli1bJlksFkmSJKm4uFh67rnnpA4dOkjx8fFSx44dpeeee04qKiry8ox9k9lslj799FPpxhtvlAYPHizt2LFDvi87O1u67777pPj4ePnjvvvukzIyMrw4Y9/GdakMrkvl5OTkSK+88orUoUMH6YEHHpCOHTsm33f27Fmpf//+Urt27aR27dpJ8fHx0oABA6TTp097cca+i+tSWVybymEtlcPXuXK4LpXDdakcrkvlcF0qh+tSee3bt5emT58uJScnV7lvzJgx0qxZs6T09HTJarVKycnJ0siRI6V77rnHCzP1H+wRSwAAm82GNWvW4KOPPoJer8cTTzyBYcOGAQAcDgfy8vIQHh4OQRC8PFPfV1hYiP/+979YuXIlOnTogFmzZqFr164AgPT0dGRmZiI6OhrR0dFenqnv47pUDtelcs6ePYt58+Zh586dGDRoEJ588kk0adIEdrsdf/zxBzIzMxETE4OEhAT5rU/kGdelsrg2lcNaKoevc+VwXSqH61I5XJfK4bpUDtelck6ePIm5c+di7969GDFiBB577DE0bNgQAJCUlITJkyejqKhIHh8SEoJPPvkEnTp18taUfR6DWHJTUlKCzz77DEuWLEHz5s3x9NNPo1evXt6ell9KTU3F+++/jy1btuDWW2/FzJkz0apVK29Pyy9xXSqH61I5hw4dwjvvvINDhw5h7NixeOSRRxAWFubtafklrktlcW0qh7VUDl/nyuG6VA7XpXK4LpXDdakcrkvl7Nu3D3PnzsWpU6dw//3346GHHkJQUBCKioqwc+dOZGVlISYmBjfffDNCQ0O9PV2fxiCWPMrKysKCBQuwYcMGdOvWDc888wzat2/v7Wn5pePHj+Odd97Bvn37cNddd2HGjBmIiory9rT8EtelcrgulfPDDz9g3rx5SEtLw4MPPohJkyZBr9d7e1p+ietSWVybymEtlcPXuXK4LpXDdakcrkvlcF0qh+tSOYmJiXj//fdRUFCAadOm4d5774VGo/H2tPwKg1jC9u3bsW7dOqSmpiI8PBy33HIL7r//fmg0GiQnJ2PevHn4/vvvMWjQIDzxxBNo2rSpt6fss44cOYL169e71fL2228HAPz888+YO3cuTp8+jfvvvx9TpkxBUFCQl2fsu7gulcN1qZyMjAxs2bJFruXNN9+MhIQEOBwOrF+/HgsXLoTD4cD06dMxcuRIiCKviVkdrktlcW0qh7VUDl/nyuG6VA7XpXK4LpXDdakcrsu6Z7PZsHr1anz00UcwGAx4/PHHcccdd3h7Wn6DQew1bvny5XjzzTfRsWNHxMXFIT8/H/v27UPfvn3xwQcfyOP++OMPzJkzB0eOHMHo0aPxwgsveHHWvikxMRFPPfUUIiIiEBsbi7y8PKSkpGDs2LF46aWX5HFbt27F/PnzUVRUhKlTp2LSpElenLVv4rpUDtelcn755RdMnToVNpsNDRo0QFFREcxmM5588klMmTIFAGA2m7F06VJ89tlniIiIwMyZMzFgwAAvz9z3cF0qi2tTOaylcvg6Vw7XpXK4LpXDdakcrkvlcF3WjdLSUvz4449ITU1FREQEunfvjkaNGqG4uBiffvopli1bhmbNmuHpp59G7969vT1d3+etq4SRb7jtttuk119/3e3Yjz/+KLVr105KSUmpMv67776TBg8eXF/T8yuDBg2SZs6cKdntdvnY+vXrpXbt2knp6eluYy0Wi7R06VKpR48e9T1Nv8B1qRyuS+Xcdddd0oMPPigVFRVJkiRJdrtd+vDDD6UOHTpIubm5bmPz8vKkN998U+rYsaM3purzuC6VxbWpHNZSOXydK4frUjlcl8rhulQO16VyuC6Vd+zYMal3795SfHy8/JGQkCBt3LhRHpORkSG9+OKLUvv27aUJEyZIhw8f9t6E/QD3YF/jcnJy0KhRI7djMTExkCQJxcXFVcb369cPW7Zsqa/p+ZWLFy+iS5cubm9t6Nq1KyRJQlZWlttYjUaDCRMmYPv27fU9Tb/AdakcrkvlJCcn47bbbpPfCiaKIoYNGwabzYbz58+7jQ0LC8Pzzz+PxMREb0zV53FdKotrUzmspXL4OlcO16VyuC6Vw3WpHK5L5XBdKu+1115DdHQ0vvnmGxw+fBi7du3C8OHD8corr8BoNAIAoqKi8Nprr+Hrr79GYGAgRo0a5eVZ+za1tydA3tWnTx989NFHyM/PR1xcHAoKCrB27Vo0a9YMbdq08fgY9lDxrGvXrvj444+hVqvlWi5btgyRkZFo27atx8ewt49nXJfK4bpUTtu2bbFs2TLExsbKtfz0008RGBhY7ZVsY2Nj63mW/oHrUllcm8phLZXD17lyuC6Vw3WpHK5L5XBdKofrUnnHjh3DM888I9cvOjoakydPxurVq5GcnIyEhAR5bKtWrfDhhx/ijz/+8NZ0/QJ7xF7jioqK8Pbbb2PLli0wm81QqVTo3r07XnjhBbRs2dLb0/Mr6enpmD17Nn7++Wf5WPPmzfHvf/8bXbt29eLM/A/XpXK4LpVz4sQJPP744zh79iwEQYAkSQgNDcWbb76Jfv36eXt6foXrUllcm8phLZXD17lyuC6Vw3WpHK5L5XBdKofrUnlDhw5FYGAg3nrrLcTFxaGwsBALFy7E2rVrsWfPHoSGhnp7in6HQSwBACRJQm5uLsLCwqBSqbw9Hb+WmZmJ9PR0REREoHHjxhAEwdtT8ltcl8rhulSGJEk4ePAg0tLSEBkZifbt23NHwt/Adakcrk3lsJbK4utcGVyXyuK6VAbXpbK4LpXBdamsffv2YcaMGSgsLJSPqVQqPP/887j33nu9ODP/xSCWiIiIiIiIiIiIqiguLsb333+P9PR0REZG4oYbbmBLh7+BQSzBbrdj+/btCA8PR/fu3QE43xq+ePFi7N27F0VFRYiNjcWwYcMwbNgwL8/Wd91///0YOHAgxo0b5+2pXDWMRiOSk5MRHR2N6OhoAEBJSQkWLVqEn376CZIkoU+fPpgyZQr/l/MyCgsL8e233+LIkSPIzMyE2WyGWq1GaGgomjVrhhtvvFF+/dPlJSUlISkpCRcuXEBJSQlEUURISAhiYmLQtWtXtGvXzttTpGvQoUOHsH//frmdS4cOHTyOO378OLZt24bHH3+8nmfo32w2GzZv3owjR45Ar9ejf//+fMvo31BSUoLXX38dkydPrrZvHzmlpqYiPDwcer3e7bjNZsO6deuwZ88eFBcXo1mzZhgxYoRbvz7yLCkpCWq1Gu3btwfgrOWmTZuq/O7D13j1Zs+ejYEDB+Kf//ynt6dyVcnJyXF7N6DD4ZBf5w6HA3369ME999zDdwteht1uxy+//IIjR44gKysLJpPJ7XefG264AU2bNvX2NOkaxSD2GldUVIQpU6bg4MGDePjhh/HEE08gKysL48aNQ0pKCkRRRHBwMAoKCiAIAvr06YP//ve//Ivfg3bt2kEQBAwZMgQvvfQSQkJCvD0lv/bpp59i4cKFsFgsEAQB99xzD1555RVMnDgR+/fvh06ng8PhgNVqRdu2bbF69WoEBAR4e9o+afv27XjppZeQn5/vdlyj0UCSJNhsNgiCgA4dOuCNN95giHgJv/32G1599VWcOnUK1f3zKQgCrrvuOrz44ovo0qVLPc+QrkWSJGH27NnYvHmzvC4FQUC/fv3w5ptvVvn36Ouvv8azzz6LY8eOeWO6Pu+3337D3LlzcfToUTRp0gRPPvkk/vnPf+KBBx7A77//7lbjBx54ALNmzfLyjP1TXl4eevbsiSVLluCmm27y9nR82nXXXYc5c+a4bYgoLS3FpEmTcOjQIbd/jwRBwLRp0zBjxgxvTNXnWSwWPPPMM9i2bZtcJ6PRiMmTJ3us5ahRo/Dqq696cca+q127dhBFEQ899BAee+wxqNW8DvjfkZiYiLfffhuZmZnQ6/WYOnUqHn74YcycOROJiYnyOEEQcNNNN+HTTz9lzatx4MABPP/88zh37pzbv9kA3L7u378/Zs+ejUaNGnltrv4mOzsbhw8fxoULF1BaWgpBEOTNKJ07d2a/2BriK/cat3DhQhw8eBCPPvooxowZAwB48803kZqaihdffBEjR46EVqtFQUEBPv74YyxZsgSffPIJpk2b5uWZ+6b27dvjm2++wd69e/H0009jxIgR3p6SX9q8eTPeffddNG/eHH369MHZs2exdu1aFBQU4Pfff8ebb76Ju+66C5Ik4csvv8Rbb72Fjz/+GDNnzvT21H3OwYMHMXPmTHTs2BGTJ09G8+bNkZeXh8TERGzduhWffPIJGjZsiB9//BGLFy/GhAkTsGbNGjRv3tzbU/c5Bw4cwMSJExEWFoYpU6agU6dOiImJgV6vhyRJMJlMSE9Px6FDh7BhwwZMnDgRy5cv584kDxwOxxU9ThRFhWdydfjiiy+wadMmDBgwAHfccQeys7OxdOlSfPfdd0hOTpavvEyXl5SUhIkTJ0Kj0aBNmzZISUnBE088gTFjxuC3337DhAkTcOedd6K4uBiLFi3C4sWL0aFDBwwePNjbU/c5l3uHkN1uhyRJ+Pe//43g4GAAzl+MV6xYUR/T8yue/uPv3XffxcGDB3HfffdhwoQJiIyMxF9//YX3338f//3vf9GmTRsMGjTIC7P1bZ9++im+/fZbDB8+HEOGDAEAvP322zh48CAmTZqEMWPGICIiAufOncMnn3yCr776CvHx8eyDWI2YmBgsWrQIO3fuxIsvvsh3V12hXbt24amnnkJoaChuvfVWpKSkYP78+cjNzUViYiIeeeQRjB49Gg6HA0uXLsWyZcuwZMkSPPTQQ96eus85deoUHnroIYSHh2P27Nlo1qwZ8vLy8L///Q9JSUl47733IIoifvzxR6xduxb33XcfVq1ahaioKG9P3aedOXMG//nPf+Sd2ZX/XRIEAYIgoG/fvnj66af5u+RlcEfsNa5fv37o0aMHXn/9dQDOH4o7d+6M8ePH45lnnqkyfubMmfjzzz+xbdu2+p6qz2vXrh3eeecdhISE4IUXXkB2djZat26NyZMnY9iwYQwQamHEiBFQqVRYuXIltFotAOCDDz7Af//7X4wbNw4vvPCC2/innnoKR44c4br04OGHH0ZBQQFWrlxZZSf7woULkZiYKP8ve2ZmJsaMGYPrr78e77zzjjem69MmTpyItLQ0rF69Gg0aNLjk2NzcXIwdOxaxsbH4/PPP62mG/qPsHQS1IQgCjh49Wkcz8m/Dhg1DREQEli5dKh+z2Wx48cUXsXHjRrRt2xYrVqyQd8ZyR2z1pk6dir/++gtffvkloqOj3XbK3XnnnfjPf/4jj3U4HBg1ahQ0Gg1WrVrlxVn7pu7du8sX9rjUOwgq70Dkuqyq7GfMijtib7zxRvTq1Qvvvfee21i73S5vpFi9enV9T9Xn3X777YiPj8f7778PwLk2u3btiqFDh8q/D1X04IMPIjMzE1u2bKnvqfq8snVpNBoxZ84cmEwmuWVYt27dvD09vzJ27Fjk5eVh9erVCAsLAwC89NJLWLt2Le644w68/fbbbuOnTJmCtLQ0rksPnnzySZw8eRLr1q2DwWBwu++1117Dn3/+iTVr1gAATp8+jXHjxmHQoEF4+eWXvTFdv3D69GmMHj0aVqsV/fv3v+RmlB07diAgIAArV65Ey5YtvT11n8Vk6BqXmZnptlvLYrHAarVW2w+pe/fuSEtLq6/p+aVbbrkF27dvx9SpU3HhwgU899xzuPXWW/H222/j8OHD3p6eXzh16hTuuusuOYQFgOHDh0OSJI9vX7zhhhuQmppan1P0GwcPHsTQoUM9thMZOnQokpOTcerUKQBAVFQU7r33Xuzbt6++p+kXkpKScN999102hAWA8PBwjBs3jq/5asyaNUtek+3bt0e3bt0u+3H99dd7eda+69y5c+jfv7/bMbVajbfeegt33303Tp48iUcffRRWq9VLM/QfBw4cwLhx4+S+5EFBQZg+fTokSULfvn3dxoqiiKFDh+L48ePemKrP27JlC2666SZoNBo8++yzOH78uNvH3r17IUkSlixZIh9jCFszJSUlKCwsrPK6B5xXsr7jjjtw8uRJL8zM96WlpaFXr17y16WlpSgtLcUtt9zicXy/fv2QkpJSX9PzS2PHjsW3336LYcOG4aeffsL48eMxZswYrFy5Ejk5Od6enl84duwYxo4dK4ewADBp0iRIkoRbb721yvhbbrkF586dq8cZ+o/9+/dj5MiRVUJYALj33nuRlJQkv6ZbtWqF8ePHY9euXfU9Tb8yd+5cGAwGfP3115g7dy7Gjx+P/v37o0+fPrj55psxYMAA3H///Xj33XexefNmqFQqzJ8/39vT9mlsTXCNa9y4MQ4ePIiRI0cCAAwGA+Li4nD27FmP448dO8a3N9aAwWDA448/jgkTJmD16tVYtWoVlixZgqVLlyI0NBQdO3ZEkyZNEBoaiieffNLb0/U5Op0OeXl5bsdyc3MBQN5dU1FBQYHHf2zJ+Z8rWVlZHu8rLCyEIAhuNQ0MDERxcXF9Tc+v6PV6lJSU1Hi81Wq94rfgX+0efPBBNGvWDDNmzEDjxo2xYMECb0/Jr6nVapSWlnq87/XXX0d2djZ2796N5557Du+++249z86/CIJQ5T+u2rVrh8DAQI81rryjk8pFRUVhyZIlWLJkCd577z3s2rULb7/9thxy13ZXPJULCAhASEhItddskCSJ67IakZGR8n9AA85aRkVFISMjw+P48+fPy60zqHrR0dGYM2cOHn74YSxduhRbtmzBwYMH8e9//xvx8fFISEhAkyZNEBISgtGjR3t7uj5HEATYbDa3Y2az2e22IovFAo1GUy9z8zfFxcXV/kxks9kgSRKysrIQFxcHAGjYsGGV3zvJ3W+//YaHH34YzZo1u+zY5s2bY8KECViyZEk9zMx/cUfsNW7YsGHYsGEDlixZIv/A9sADD+DTTz+tsith8+bNWLduncf/fSfPwsLCMHXqVOzatQurVq3CpEmT0LRpU+zbtw+rV6/GJ5984u0p+qTOnTvjiy++wMGDBwE4d26/9dZbUKvVWLFiBSwWizy2qKgIX331FTp16uSl2fq2Tp06YcWKFVV2bDkcDnz44YdQqVRo3bo1AGdwuHXrVr6NpBqdO3fGypUrcfHixcuOvXDhApYuXcpdnJfQr18/PPLII9ixYwe2b9/u7en4tQ4dOmDTpk1ufzeWEUUR7733Htq1a4fExES8+uqr/A+CS2jbti2++uorGI1G+VhkZCR+//13DB061G2syWTC+vXreYHDy5g0aRK++uorZGdnY9iwYdi6dau3p+SXvvnmG6xduxaHDh1CSUkJBg0a5PFtycXFxXJfU6pqwIABWLVqldu/O/feey8++eSTKmHsr7/+ilWrVlW7W5aqatWqFV5//XXs2bMH77zzDvr164eMjAysXr0a7777Ll555RVvT9EndejQAV988QUuXLgAwPnvy/z58yEIAjZu3Og21mq1YsOGDWjfvr03purz4uPjsXLlSo//ubJs2TKIougWKP7www9o2rRpfU7R7wiCUKs2i3q9vtownJzYI/YaZ7FYMHnyZOzfvx9xcXHo06cPmjRpgnXr1iElJQWdOnVCZGQkTpw4gXPnzqFZs2b46quvqlyBmTz376qOzWbDxYsXkZuby6uqe1D2FnCr1YqQkBAUFRUhMjIS06ZNw6uvvoq2bdti2LBhcDgcWLduHVJTU7Fs2TL2o/Lg999/x4QJEyAIAoYNG4b4+HgYjUZ8++23OHXqFO6//37Mnj0bv/zyC15++WWkpKTgvffew+233+7tqfucU6dOYezYsbBarbjtttvQqVMnNGrUCAEBAQCcb2/MyMhAUlIStm/fDlEUsXLlSoY0l2Cz2TBkyBCoVCq3KwJT7ezYsQPTp09HixYtcNddd2HkyJEIDw93G5OdnY1x48YhJSUFoaGhKCgo4NvAPdi3bx8mTpyIqKgojBkzptqLk65atQorVqxAcnIy5s+fj4EDB9bzTP2PxWLB22+/jZUrV2LIkCGYMWMGBg4ciCVLlqBHjx7enp5P69u3r9yCqWwncXBwMIqKivDKK6/IOwyXLl2KlStX4sKFC5g3bx4v1uVBUVER7r33Xpw6dQo33ngjbrnlFsTExGDhwoXIzMxE37595d99fvnlFzRo0ADr16+Xd3JTudr87pOWloYzZ84gNze3yn9qEbBnzx489NBD0Gq1aNWqFS5evAiHw4GJEydiwYIF6NWrF+6++244HA6sWLEChw4dwoIFC9CvXz9vT93nfP/993jkkUcQFhaG8ePHy7/7bN26Ff/3f/+HoUOH4p133sHhw4cxZ84c/Pbbb3j55ZflC5dTVRMnTkRGRga++uqry75DoLCwEKNGjULDhg2xfPnyepqh/2EQS7Db7Vi+fDlWrVpVba8Zg8GAYcOGYebMmW69a6hcbX4YoctLSkrChx9+iHPnzqFVq1aYOXMmWrVqJTeuL/urKygoCC+++CLuvPNOL8/Yd/3www946aWX3FoUqNVqjB07Fs899xxUKhU2b96MDz74ANOnT8fw4cO9OFvfdvr0abz11lvYs2ePfKzsl+KyNSmKInr06IHnnnsObdq08co8/UlmZiZyc3PRpk2bat9mS5e3efNmvPrqqygtLUViYiJatGhRZUxOTg4ee+wxHDhwgBdFuoTvv/8er776Klq1aoXFixd7HHPrrbciKysLM2bMwJQpU+p5hv5t165d+Ne//gW73Y78/HwsXryYQWwNGI1GHD9+HCdOnJB76p46dQqPPfYYHnjgAQDAoEGDkJKSgkcffRSPPPKIl2fsu4xGI+bPn49NmzbBaDR6bDEiCAJ69uyJl19+WX4LM7nj7z7K2rFjB+bPny//7vPCCy+gU6dOmDZtGvbs2SOvU5VKhcceewxTp0719pR91qpVq/D222/DZDK5vb779u2LuXPnIiAgABs3bsSrr76KyZMnY/r06V6esW87cOAAJkyYgLCwMIwYMQIJCQlum1HKLtaVlJSEdevWITc3F4sXL8aNN97o5Zn7Lgax5CYjIwPJyckoKCiAxWJBQEAAGjdujDZt2rAPzWXs378frVq1QkREhLenctU7e/YsTpw4Ab1ej+uvvx5BQUHenpLPs1qtOHToENLT0xEQEIBOnTq5rVW73c4QrBZycnLkehqNRkiShMDAQMTGxqJjx478e4C8wmKx4I8//kCXLl3cLnZYkcPhwJYtW/Djjz9Wudo6ucvMzERUVJTH+3bt2oX4+HjExMTU86yuDrm5uXj++eexa9cuBrF/gyRJsFqt8ut9165daNOmDRo3buzlmfkHi8WCI0eO4PTp0ygsLITFYoHBYEDjxo2RkJDA1/dlbNy4Ed26dePbuuvB3r17cfz4ceh0OvTp04f/OVADubm5+Omnn+Tffbp164brrrtOvt9oNEKj0UCn03lxlv5j3759eO2113D69Olqe7xLkoQWLVrgpZde4r/rl8EglgAAZ86cwbFjxxATE4OuXbsCALKysvCf//wHe/bsgSRJ6NOnD2bNmsUfSi7DUy2zs7PlXXSsZc2V1bJRo0ZyCwfW8spwXSrn3Llz2LBhA44cOYLMzEyYzWao1WqEhoaiWbNm6N69O4YMGVJtEEblWEtlsZ7KuVwtb7zxRgwdOpS1rAHWUjmspXL496VyWEvl8DWuHK7LupGUlCRvRikqKgIAeTNKQkICOnbs6OUZ+gcGsdc4SZLw6quvYs2aNfKxnj17YuHChRg1ahROnTqFuLg42O12XLhwATExMVi/fj13e3nAWiqHtVQOa6ms5cuX45133qlyUaTg4GCEh4cjNTUVVqsV0dHReOutt9CzZ08vzdT3sZbKYj2Vw1oqh7VUDmupHNZSOaylclhL5bCW5PMkuqYtXbpUio+Pl8aPHy8tWbJEevnll6UOHTpI9957r9SpUydp79698tgdO3ZIHTp0kF599VUvzth3sZbKYS2Vw1oq58cff5Ti4+OlJ554Qjp27JhUWloqpaamSp999pnUtWtX6fvvv5csFov0448/SiNGjJASEhKkI0eOeHvaPom1VBbrqRzWUjmspXJYS+WwlsphLZXDWiqHtaw7paWlUmJiovSf//xHmj59uvTAAw9IkydPlmbOnCnNmTNH2rFjh2Q2m709Tb/AIPYaN2jQIOmBBx5wO7Z8+XIpPj5emjdvXpXxL774onTrrbfW1/T8CmupHNZSOaylcu677z7pwQcf9HjfF198Id18882Sw+GQJEmSjEajNHToUGnatGn1OUW/wVoqi/VUDmupHNZSOaylclhL5bCWymEtlcNa1o2tW7dKPXr0kNq1ayfFx8d7/GjXrp3Uq1cv6dtvv/X2dH2e6O0dueRd58+fR//+/d2O3XrrrQCAhISEKuP/8Y9/IDMzs17m5m9YS+WwlsphLZVz7Ngx9O3b1+N9//znP5GRkYETJ04AcPZKGjVqFA4ePFiPM/QfrKWyWE/lsJbKYS2Vw1oqh7VUDmupHNZSOayl8r7//ns89dRTiIiIwGuvvYbNmzdj3759cr/YX375BZs2bcIrr7yCBg0a4Mknn8RPP/3k7Wn7NLW3J0DeFRgYiPPnz7sdK/vaUxiTlpaGkJCQepmbv2EtlcNaKoe1VI4gCDh79qzH+zIyMiAIAkwmk9t4m81WT7PzL6ylslhP5bCWymEtlcNaKoe1VA5rqRzWUjmspfIWLVqEf/zjH/jyyy89XtxMp9MhLCwM7dq1w1133YWxY8fio48+Qp8+fbwwW//AHbHXuO7du2PFihX45ptvYDQacfDgQbz22msICgrC4sWLUVBQII9NTU3FmjVrcMMNN3hxxr6LtVQOa6kc1lI5N9xwA1atWoVdu3a5HTcajZgzZw70ej3i4+MBAIWFhVizZo38NbljLZXFeiqHtVQOa6kc1lI5rKVyWEvlsJbKYS2Vd+LECdxzzz0eQ9jKdDodRo4ciZMnT9bDzPyXIEmS5O1JkPecPXsWo0ePRmFhoXysVatWmDFjBmbMmIHIyEj069cPDocD27Ztg8lkwldffcW/rDxgLZXDWiqHtVTOqVOnMHLkSJhMJtx4442Ij4+H0WjE7t27kZ2djZkzZ2LKlCnYuXMnnn/+eRQXF+PTTz9Fjx49vD11n8NaKov1VA5rqRzWUjmspXJYS+WwlsphLZXDWiqvT58+GDlyJGbMmFGj8QsXLsTy5cuxb9++Op6Z/2IQS7h48SI+//xznDt3Dq1atcKUKVMQGRmJTz75BB999JG8db9JkyZ48803cdNNN3l5xr6LtVQOa6kc1lI5hw8fxssvv4yjR4/Kx0JDQzFt2jRMnDgRAPDtt9/iyy+/xLRp0/hD3SWwlspiPZXDWiqHtVQOa6kc1lI5rKVyWEvlsJbKeuaZZ/D999/js88+Q+fOnS859uDBg5g8eTJuvvlmzJs3r34m6IcYxNIlGY1GnD17FjqdDq1bt4YgCN6ekt9iLZXDWiqHtbwy6enpSEtLQ0BAAFq3bg2VSuXtKfkt1lJZrKdyWEvlsJbKYS2Vw1oqh7VUDmupHNZSGWlpaRg3bhzS0tLQqVMndOrUCY0aNUJAQAAAoLS0FOnp6Th8+DAOHDiA8PBwrFmzBk2aNPHyzH0Xg1giIiIiIiIiIiKqIjs7GwsWLMCWLVtQUlLicUxwcDAGDRokt7+j6jGIJSIiIiIiIiIiomo5HA789ddfSE9Ph9FohCRJCAwMRGxsLFq2bMldxzXEIJaIiIiIiIiIiIiojonengARERERERERERHR1U7t7QkQERERERERERGRb/n555+v6HE9evRQeCZXD7YmICIiIiIiIiIiIjcdOnSAw+Go9eOOHTtWB7O5OnBHLBEREREREREREbn58ssv8eijjyInJwdDhgxB8+bNvT0lv8cdsURERERERERERFTF2bNnMXr0aERFRWHDhg3QaDTenpJf48W6iIiIiIiIiIiIqIrmzZvjjTfewF9//YWlS5d6ezp+jztiiYiIiIiIiIiIqFpTpkzB2bNn8c0333BX7N/AIJaIiIiIiIiIiIiojrE1AREREREREREREVEdYxBLREREREREREREVMcYxBIRERERERERERHVMQaxRERERERERERERHWMQSwRERER1dqAAQMQHx+PuXPn/u3nysjIQElJiQKzurS+ffvi5ptvrvH4TZs2IT4+Hp06dUJBQUEdzsz3jR8/HvHx8bDZbN6eChEREZHfYhBLRERERLWyf/9+nDt3DgEBAdiwYQMsFssVP9e6detw++23Izc3V8EZKmP9+vUICAiAyWTCxo0bvT0dr5o6dSrmzJkDlUrl7akQERER+S0GsURERERUK+vXr4dKpcKDDz6InJwcfPfdd1f8XL/88ku97IatrfPnz+PXX3/F6NGjERoaijVr1nh7Sl7Vq1cv3HnnnRAEwdtTISIiIvJbDGKJiIiIqMaMRiO2bduGjh074s477wQArF692suzUt769eshSRJ69eqFvn37Ijk5Gfv27fP2tIiIiIjIjzGIJSIiIqIaS0xMRGlpKXr16oWmTZsiISEB+/fvx+nTp6uMTUlJwXPPPYc+ffqgU6dOGDRoED7++GO5lUHfvn2xZcsWAMBtt92G8ePHAwCee+45xMfH49y5c27Pd+7cOcTHx+O5555zO/7zzz9j2rRp6NmzJzp06IAbbrgBEyZMwN69e6/oHB0OBzZt2gS9Xo9u3bph0KBBAIBVq1Z5HC9JEtasWYO7774bXbp0QY8ePfDwww/j8OHDbuOKi4sxb948DBw4EAkJCbj11lvx0ksvITMzUx5TXS/WvXv3Ij4+HgsWLJCP9e3bFw8++CA+/vhjdOvWDV27dsXy5csBAJmZmXjzzTfl75WQkIDBgwfjww8/rPLcVzovh8OB5cuX484770RCQgK6deuGyZMn4/fff69So5UrV2LEiBHo2rUrunTpglGjRmHDhg2X/HMgIiIiutqovT0BIiIiIvIf69evBwAMHjwYADBkyBAkJSVh1apVeOGFF+RxJ0+exNixY+FwODBmzBg0a9YMv/76K9577z0cP34c8+fPx/PPP4/PPvsMf/zxB2bPno02bdrUej7btm3D448/jvbt22PKlCkIDAzEX3/9hbVr1+Khhx7Cpk2bav28//d//4e0tDTcfvvtMBgM6NmzJ8LCwrBjxw7k5OQgIiLCbfy//vUvrF+/Ht26dcPjjz8Oq9WKFStWYPz48Vi+fDk6duyI0tJSjBkzBidPnsSwYcMwceJEnD9/HitXrsS+ffuwdu1ahISE1Pr8Dxw4gL/++gszZsxAfn4+evTogaKiIowePRqFhYW49957ERcXh/z8fGzatAkffPABTCYTnnrqKQD4W/N66qmnkJiYiIEDB2LUqFEoKCjAhg0bMH78eMybNw+33347AGDp0qV46623MGTIEIwaNQpWqxUbN27E7NmzYTKZcO+999b6vImIiIj8EYNYIiIiIqqR06dP4+DBg2jbti1at24NABg0aBDefvttbN68GU899RQMBgMA4M0334TZbMa6devQrl07AMCYMWOg1WqxYcMGTJ06Ff369cO3336LP/74A/369UNsbGyt5/Txxx8jMjISK1asQEBAgHy8WbNmeO2117B79+5aB7FlYfOQIUMAABqNBgMHDsSaNWuwbt06PPzww/LYX3/9FevXr8fQoUMxd+5cuYfqwIED5R3AH374IRYvXoyTJ0/ilVdewdixY+XHt23bFs8++yw2btyICRMm1Pr8S0pK8NFHH6FHjx7ysS+++AKpqan44IMPMHDgQPn46NGj0bNnT/zwww9yEHul80pMTERiYiJmzZqFyZMny8cnTJiAe+65B6+88gpuueUWGAwGrFu3Dq1atcK8efPkcXfffTdGjRqF48eP1/qciYiIiPwVWxMQERERUY2sW7cOADB06FD5WHR0NLp164bCwkJ88803AIC8vDzs378fvXv3lkPYMk8//TS+/vprtGzZUpE5rV27Fl9//bVbCGuxWCCKzh9zjUZjrZ4vPz8fO3fuRFBQEG655Rb5eNk5r1mzBg6HQz6+bds2AMCkSZPcLmQVFxeHdevW4eWXX5bHhYSEYNSoUW7fb8iQIVi7di1GjBhRq3mW0Wg0uOGGG9yO3X///di7dy/69+/vdjw3NxfBwcFuNbnSeZX9WQ8cOBC5ubnyh9lsxoABA5CXl4dff/0VABATE4MzZ85gwYIFcguLgIAAbN26Fa+99toVnTcRERGRP+KOWCIiIiK6LJvNhq+//hoA0KlTJ1y4cEG+r3v37ti/fz9Wr16Ne+65BxcvXoTD4UCLFi2qPE9ERESVt/b/HWq1Gqmpqfjoo49w+vRpXLx4ERcuXJDD0oqhaU1s2bIFFosFvXv3RlZWlny8UaNGCAsLw8WLF/HTTz/JIW1ZHTwFy9ddd538+fnz59GyZUuoVCq3MRqNBgkJCbWaY0VhYWFQq6v+SC+KIhYvXoxDhw4hJSUF58+fR3FxMQBneP5353XmzBkAQL9+/aodc/HiRQDA888/j0ceeQQLFy7EwoULER0djV69emHAgAH45z//6RZgExEREV3NGMQSERER0WX9+OOPyM7OBoBq30J/+PBh/Pnnn/IFnZQO2CpfZAoA3n33XXzyySeIjY1Ft27d0KNHD/miUo888kitv0dZW4Lvv/8e33//vccxq1atkoNYq9UK4PLnarPZ/lY9PJ07AHnnb0VJSUl44IEHYLPZcNNNN6FPnz5o06YNunbtivHjx7uF01c6L4fDAYPBgI8++qjaMWVBfMuWLZGYmIjff/8du3fvxi+//ILNmzdjw4YNGDBggNsFyIiIiIiuZgxiiYiIiOiyygLKyZMno0uXLlXu37BhA3bu3InVq1fj8ccfB1C+a7Kiv/76Cx999BHuuece9OrVy+P3KtudabFY3I6XBcFlUlNT8emnn6Jr165YtmwZtFqtfF/Z7t3aOHr0KI4dO4bGjRvjX//6V5X7S0pK8Oyzz2L37t1IS0tDo0aN5L62Z86cQfv27d3Gz58/H0VFRXjhhRcQGxuLlJQUOBwOt/DUbrfjqaeeQrdu3XDfffe5nXvFna6Vz/1S5s2bB6PRiK+//hpt27aVj1utVuTl5SE0NFQ+VtN5VRYbG4szZ86gTZs2aNiwodt9x44dQ2ZmJgwGA2w2G06ePAm1Wo0bbrhBbqOQk5ODqVOnYvv27Th58qTbPImIiIiuVuwRS0RERESXlJ2djd27dyMkJATTp09Hv379qnyUha9bt26FXq9Hly5dsGfPHrknaJkVK1YgMTERwcHBAMpDV0mS5DFRUVEAgCNHjrg9dvPmzW5fFxQUQJIktGjRwi2ELS0txfLlywE4A8WaKgubx4wZ4/Ec77jjDvTr1w92ux1r1qwBALkP6xdffOH2XOfPn8eSJUuQkpICQRDQv39/FBQUYOPGjW7jtm3bhv/9738oLS2t9twdDge2bNlS4/PIy8uDXq9Hs2bN3I4vX74cJpPJrSY1nVdlZRcBe//9992OG41GPPHEE3j00UdhNpths9lw33334emnn5Z3DwPOFhVxcXEAUKUtAhEREdHVijtiiYiIiOiSNm3aBJvNhuHDh8NgMHgcEx8fj549e2Lv3r3YvHkzXnrpJdx3330YNWoUxo0bh8aNG2P//v345ptvMHLkSLn/aFm/2M8++wx9+vSRA89FixbhjTfewMWLF9GwYUP88MMPOHXqFDQajfw9W7dujWbNmmHTpk0ICAhAfHw8MjMzsXHjRrm/a2FhYY3O0WKxYOvWrdBoNBg5cmS14yZOnIjt27dj3bp1mD59Onr37o077rgDGzduRHp6Om677TaUlJTgyy+/hFqtxnPPPQcAmDJlCnbu3IkXXngBv//+OxISEnD27FmsWrUK1113HcaNGwcAGD58ODZv3oyZM2di4sSJMBgM+Oabb5Cfn1+j8wCA2267DR9++CEmTZqEoUOHQpIk7N69Gz/++CP0ej2MRiMkSYIgCDWeV2UjRozAt99+i7Vr1+L8+fO47bbbYLPZsHbtWpw9exazZs2Se9FOnjwZ77//PsaNG4fBgwfDYDDgwIED2Lp1K2699Va0atWqxudGRERE5M8EqeL2AyIiIiKiSgYPHozk5GT873//83gBrjK7du3ClClT0LZtW2zZsgWnT5/GwoUL8fPPP6O0tBRxcXEYM2YMRo8eLb/tPjU1FTNnzsSRI0fQpEkTbNu2DQCwZ88eLFy4EEePHoXBYECfPn0wa9Ys3H777Rg4cCD+85//AABSUlIwd+5c/PbbbyguLkZUVBSuv/56PProoxg3bhw0Gg127NgBQRDQt29f2Gw27N69u8rcExMT8eSTT2Lo0KF49913L1mPkSNHIikpCR988AEGDhwIh8OBFStWyCFkaGgorr/+ejz++ONuF/EqLCzEhx9+iO+++w6ZmZmIiYlBv379MG3aNLd2AVu2bMHnn3+O06dPIyQkBAMHDsTEiRPRv39/TJ8+HY899hgAVHs+NpsNixYtwqZNm5Ceno7Q0FC0aNECEyZMwOHDh/Hxxx/jiy++QPfu3Ws8r/Hjx2P//v34888/5T87q9WKZcuWYfPmzTh37hwMBgNatWqFiRMnYsCAAW5zWrduHdasWYOUlBSUlJQgLi4OQ4YMwYMPPgidTnfJehMRERFdLRjEEhEREREREREREdUx9oglIiIiIiIiIiIiqmMMYomIiIiIiIiIiIjqGINYIiIiIiIiIiIiojrGIJaIiIiIiIiIiIiojjGIJSIiIiIiIiIiIqpjDGKJiIiIiIiIiIiI6hiDWCIiIiIiIiIiIqI6xiCWiIiIiIiIiIiIqI4xiCUiIiIiIiIiIiKqYwxiiYiIiIiIiIiIiOoYg1giIiIiIiIiIiKiOsYgloiIiIiIiIiIiKiOMYglIiIiIiIiIiIiqmP/D7BpE3StbhuSAAAAAElFTkSuQmCC" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "def get_error(y_preds, y_trues, a, b):\n", + " y_preds = y_preds[(y_trues >= a) & (y_trues < b)]\n", + " y_trues = y_trues[(y_trues >= a) & (y_trues < b)]\n", + "\n", + " return np.abs(y_preds - y_trues).mean(), ((y_preds - y_trues) ** 2).mean() ** 0.5\n", + "\n", + "\n", + "errors = []\n", + "bounds = np.linspace(0.7, 1, 31)\n", + "for a, b in zip(bounds[:-1], bounds[1:]):\n", + " mae, rmse = get_error(y_preds, y_trues, a, b)\n", + " errors.append([f\"{b:.0%}\", mae, rmse])\n", + "\n", + "df_errors = pd.DataFrame(errors, columns=['bounds', 'mae', 'rmse'])\n", + "plt.figure(figsize=(14, 4))\n", + "sns.lineplot(data=df_errors, x='bounds', y='mae', label='mae')\n", + "sns.lineplot(data=df_errors, x='bounds', y='rmse', label='rmse')\n", + "plt.gca().yaxis.set_major_formatter(mtick.PercentFormatter(xmax=1))\n", + "\n", + "plt.title(\"Errors for different true accuracies\")\n", + "plt.xlabel(\"Actual Accuracies\")\n", + "plt.ylabel(\"Error\")\n", + "_ = plt.xticks(rotation=90, ha='right')\n", + "plt.tight_layout()\n", + "plt.savefig(\"error.png\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "With domain expert input, it's logical.\n", + "There is significantly large deviations for lower accuracies, which is largely due to the undersampling of scores within that range. Refer to the diagram above to see the distribution of scores.\n", + "\n", + "Fortunately, this isn't detrimental to common business use cases, as the scores of interest are those of higher accuracies." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.13" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} diff --git a/opal/models/V3_2023_05/error.png b/opal/models/V3_2023_05/error.png new file mode 100644 index 00000000..705cb4f3 Binary files /dev/null and b/opal/models/V3_2023_05/error.png differ diff --git a/opal/models/V3_2023_05/model.ckpt b/opal/models/V3_2023_05/model.ckpt new file mode 100644 index 00000000..d941812f Binary files /dev/null and b/opal/models/V3_2023_05/model.ckpt differ diff --git a/opal/models/V3_2023_05/overview.png b/opal/models/V3_2023_05/overview.png new file mode 100644 index 00000000..d5f8fab6 Binary files /dev/null and b/opal/models/V3_2023_05/overview.png differ diff --git a/opal/module/opal_net.py b/opal/module/opal_net.py index b1e6b547..c290397f 100644 --- a/opal/module/opal_net.py +++ b/opal/module/opal_net.py @@ -5,6 +5,7 @@ import numpy as np import pytorch_lightning as pl import torch +from sklearn.metrics import mean_absolute_error from sklearn.preprocessing import LabelEncoder, QuantileTransformer from torch.nn import MSELoss from torch.optim.lr_scheduler import ExponentialLR @@ -38,7 +39,7 @@ def __init__( self, uid_le: LabelEncoder, mid_le: LabelEncoder, - qt: QuantileTransformer, + transformer: QuantileTransformer, emb_dim: int, mf_repeats: int, mlp_range: List[int], @@ -53,7 +54,7 @@ def __init__( Args: uid_le: UID LabelEncoder from the DM mid_le: MID LabelEncoder from the DM - qt: QuantileTransformer from the DM + transformer: QuantileTransformer from the DM emb_dim: Embedding Dimensions lr: Learning Rate """ @@ -71,7 +72,7 @@ def __init__( self.lr_gamma = lr_gamma self.uid_le = uid_le self.mid_le = mid_le - self.qt = qt + self.transformer = transformer # Save the params in the hparams.yaml self.save_hyperparameters() @@ -80,7 +81,7 @@ def forward(self, uid, mid): return self.model(uid, mid) def scaler_inverse_transform(self, val: torch.Tensor): - return self.qt.inverse_transform(val.detach().cpu().numpy()) + return self.transformer.inverse_transform(val.detach().cpu().numpy()) def uid_inverse_transform(self, val: torch.Tensor): return self.uid_le.inverse_transform(val.detach().cpu().numpy()) @@ -92,14 +93,8 @@ def training_step(self, batch, batch_idx): *_, y_pred, y_true, y_pred_real, y_true_real = self.step(batch) loss = self.loss(y_pred, y_true) - # if batch_idx % 32 == 0: - # self.logger.experiment.add_histogram("pred", y_pred) - # self.logger.experiment.add_histogram("true", y_true) - # self.logger.experiment.add_histogram("pred_real", y_pred_real) - # self.logger.experiment.add_histogram("true_real", y_true_real) - - self.log("train_loss", loss) - self.log("train_mae", np.abs(y_pred_real - y_true_real).mean(), prog_bar=True) + self.log("train_loss", loss, prog_bar=True) + self.log("train_mae", mean_absolute_error(y_pred_real, y_true_real), prog_bar=True) return loss @@ -108,7 +103,7 @@ def validation_step(self, batch, batch_idx): loss = self.loss(y_pred, y_true) self.log("val_loss", loss) - self.log("val_mae", np.abs(y_pred_real - y_true_real).mean(), prog_bar=True) + self.log("val_mae", mean_absolute_error(y_pred_real, y_true_real), prog_bar=True) def predict_step(self, batch, batch_idx, **kwargs): x_uid, x_mid, *_, y_pred_real, y_true_real = self.step(batch) diff --git a/opal/train.py b/opal/train.py index 2b7b0907..f46a9c97 100644 --- a/opal/train.py +++ b/opal/train.py @@ -1,24 +1,25 @@ +from pathlib import Path + import pytorch_lightning as pl import torch -from pytorch_lightning.callbacks import LearningRateMonitor, EarlyStopping, ModelCheckpoint +from pytorch_lightning.callbacks import LearningRateMonitor, EarlyStopping, ModelCheckpoint, StochasticWeightAveraging -from opal.module import OpalNet from opal.datamodule import ScoreDataModule +from opal.module import OpalNet -def train(yyyy_mm: str): +def train(version: str): dm = ScoreDataModule( - ds_yyyy_mm=yyyy_mm, - batch_size=2 ** 10, - ds_set="10000", - accuracy_bounds=(0.85, 1.0) + osu_files_path=Path(r"D:\osu!db\2023_05_01_osu_files\2023_05_01_osu_files\\"), + batch_size=2 ** 9, + accuracy_bounds=(0.85, 1.0), ) epochs = 50 net = OpalNet( uid_le=dm.uid_le, mid_le=dm.mid_le, - qt=dm.qt_accuracy, + transformer=dm.transformer, emb_dim=8, mf_repeats=2, mlp_range=[128, 64, 32, 8], @@ -29,13 +30,16 @@ def train(yyyy_mm: str): deterministic=True, max_epochs=epochs, accelerator='gpu', - default_root_dir="V1_2022_11", + default_root_dir=version, + callbacks=[ + # StochasticWeightAveraging(swa_lrs=1e-2), EarlyStopping( monitor="val_loss", patience=3, verbose=True, mode='min', + min_delta=0.0001, divergence_threshold=1 ), LearningRateMonitor(), @@ -48,4 +52,4 @@ def train(yyyy_mm: str): if __name__ == '__main__': torch.set_float32_matmul_precision('high') - train("2023_04") + train("V3_2023_05") diff --git a/pyproject.toml b/pyproject.toml index 754dfec2..518714fb 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -7,6 +7,7 @@ license = "MIT" readme = "README.md" exclude = [ "opal/models/V2_2023_01", # Old Model + "opal/models/V2_2023_04", # Old Model "**/*.ipynb", "**/*.png" ]