diff --git a/404.html b/404.html index 950cff7fd..99bec5211 100644 --- a/404.html +++ b/404.html @@ -5,8 +5,8 @@ Page Not Found | CyclOps - - + +
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diff --git a/api/_images/tutorials_nihcxr_monitor_api_10_1.png b/api/_images/tutorials_nihcxr_monitor_api_10_1.png index 885470742..4b4121504 100644 Binary files a/api/_images/tutorials_nihcxr_monitor_api_10_1.png and b/api/_images/tutorials_nihcxr_monitor_api_10_1.png differ diff --git a/api/_images/tutorials_nihcxr_monitor_api_12_0.png b/api/_images/tutorials_nihcxr_monitor_api_12_0.png index 9c38a0546..70ce88d6e 100644 Binary files a/api/_images/tutorials_nihcxr_monitor_api_12_0.png and b/api/_images/tutorials_nihcxr_monitor_api_12_0.png differ diff --git a/api/_images/tutorials_nihcxr_monitor_api_6_0.png b/api/_images/tutorials_nihcxr_monitor_api_6_0.png index 4d9295fc8..360851d0a 100644 Binary files a/api/_images/tutorials_nihcxr_monitor_api_6_0.png and b/api/_images/tutorials_nihcxr_monitor_api_6_0.png differ diff --git a/api/_images/tutorials_nihcxr_monitor_api_8_0.png b/api/_images/tutorials_nihcxr_monitor_api_8_0.png index 461853dbb..8a73b56d9 100644 Binary files a/api/_images/tutorials_nihcxr_monitor_api_8_0.png and b/api/_images/tutorials_nihcxr_monitor_api_8_0.png differ diff --git a/api/_modules/cyclops/data/features/medical_image.html b/api/_modules/cyclops/data/features/medical_image.html index 1d65e3d51..83be97fc5 100644 --- a/api/_modules/cyclops/data/features/medical_image.html +++ b/api/_modules/cyclops/data/features/medical_image.html @@ -166,12 +166,11 @@

Source code for cyclops.data.features.medical_image

 """Medical image feature."""
 
-import logging
 import os
 import tempfile
 from dataclasses import dataclass, field
 from io import BytesIO
-from typing import Any, ClassVar, Dict, Optional, Tuple, Union
+from typing import TYPE_CHECKING, Any, ClassVar, Dict, Optional, Tuple, Union
 
 import numpy as np
 import numpy.typing as npt
@@ -181,18 +180,56 @@ 
Source code for cyclops.data.features.medical_image
from datasets.features import Image, features
 from datasets.utils.file_utils import is_local_path
 from datasets.utils.py_utils import string_to_dict
-from monai.data.image_reader import ImageReader
-from monai.data.image_writer import ITKWriter
-from monai.transforms.compose import Compose
-from monai.transforms.io.array import LoadImage
-from monai.transforms.utility.array import ToNumpy
 
-from cyclops.utils.log import setup_logging
+from cyclops.utils.optional import import_optional_module
 
 
-# Logging.
-LOGGER = logging.getLogger(__name__)
-setup_logging(print_level="INFO", logger=LOGGER)
+if TYPE_CHECKING:
+    from monai.data.image_reader import ImageReader
+    from monai.data.image_writer import ITKWriter
+    from monai.transforms.compose import Compose
+    from monai.transforms.io.array import LoadImage
+    from monai.transforms.utility.array import ToNumpy
+else:
+    ImageReader = import_optional_module(
+        "monai.data.image_reader",
+        attribute="ImageReader",
+        error="warn",
+    )
+    ITKWriter = import_optional_module(
+        "monai.data.image_writer",
+        attribute="ITKWriter",
+        error="warn",
+    )
+    Compose = import_optional_module(
+        "monai.transforms.compose",
+        attribute="Compose",
+        error="warn",
+    )
+    LoadImage = import_optional_module(
+        "monai.transforms.io.array",
+        attribute="LoadImage",
+        error="warn",
+    )
+    ToNumpy = import_optional_module(
+        "monai.transforms.utility.array",
+        attribute="ToNumpy",
+        error="warn",
+    )
+_monai_available = all(
+    module is not None
+    for module in (
+        ImageReader,
+        ITKWriter,
+        Compose,
+        LoadImage,
+        ToNumpy,
+    )
+)
+_monai_unavailable_message = (
+    "The MONAI library is required to use the `MedicalImage` feature. "
+    "Please install it with `pip install monai`."
+)
 
 
 

@@ -203,24 +240,35 @@ 
Source code for cyclops.data.features.medical_image
    Parameters
     ----------
-    decode : bool, optional, default=True
-        Whether to decode the image. If False, the image will be returned as a
-        dictionary in the format `{"path": image_path, "bytes": image_bytes}`.
     reader : Union[str, ImageReader], optional, default="ITKReader"
         The MONAI image reader to use.
     suffix : str, optional, default=".jpg"
         The suffix to use when decoding bytes to image.
+    decode : bool, optional, default=True
+        Whether to decode the image. If False, the image will be returned as a
+        dictionary in the format `{"path": image_path, "bytes": image_bytes}`.
+    id : str, optional, default=None
+        The id of the feature.
 
     """
 
     reader: Union[str, ImageReader] = "ITKReader"
     suffix: str = ".jpg"  # used when decoding/encoding bytes to image
-    _loader = Compose(
-        [
-            LoadImage(reader=reader, simple_keys=True, dtype=None, image_only=True),
-            ToNumpy(),
-        ],
-    )
+
+    _loader = None
+    if _monai_available:
+        _loader = Compose(
+            [
+                LoadImage(
+                    reader=reader,
+                    simple_keys=True,
+                    dtype=None,
+                    image_only=False,
+                ),
+                ToNumpy(),
+            ],
+        )
+
     # Automatically constructed
     dtype: ClassVar[str] = "dict"
     pa_type: ClassVar[Any] = pa.struct({"bytes": pa.binary(), "path": pa.string()})
@@ -246,12 +294,14 @@ 
Source code for cyclops.data.features.medical_image
        """
         if isinstance(value, list):
-            value = np.array(value)
+            value = np.asarray(value)
 
         if isinstance(value, str):
             return {"path": value, "bytes": None}
+
         if isinstance(value, np.ndarray):
             return _encode_ndarray(value, image_format=self.suffix)
+
         if "array" in value and "metadata" in value:
             output_ext_ = self.suffix
             metadata_ = value["metadata"]
@@ -305,7 +355,7 @@ 
Source code for cyclops.data.features.medical_image
if not self.decode:
             raise RuntimeError(
                 "Decoding is disabled for this feature. "
-                "Please use MedicalImage(decode=True) instead.",
+                "Please use `MedicalImage(decode=True)` instead.",
             )
 
         if token_per_repo_id is None:
@@ -320,6 +370,8 @@ 
Source code for cyclops.data.features.medical_image
)
 
             if is_local_path(path):
+                if self._loader is None:
+                    raise RuntimeError(_monai_unavailable_message)
                 image, metadata = self._loader(path)
             else:
                 source_url = path.split("::")[-1]
@@ -362,6 +414,9 @@ 
Source code for cyclops.data.features.medical_image
            Image as numpy array and metadata as dictionary.
 
         """
+        if self._loader is None:
+            raise RuntimeError(_monai_unavailable_message)
+
         # XXX: Can we avoid writing to disk?
         with tempfile.NamedTemporaryFile(mode="wb", suffix=self.suffix) as fp:
             fp.write(buffer.getvalue())
@@ -394,6 +449,9 @@ 
Source code for cyclops.data.features.medical_image
        Dictionary containing the image bytes and path.
 
     """
+    if not _monai_available:
+        raise RuntimeError(_monai_unavailable_message)
+
     if not image_format.startswith("."):
         image_format = "." + image_format
 
@@ -415,7 +473,7 @@ 
Source code for cyclops.data.features.medical_image
return {"path": None, "bytes": temp_file_bytes}
 
 
-# add the `MedicalImage` feature to the `features` module
+# add the `MedicalImage` feature to the `features` module namespace
 features.MedicalImage = MedicalImage
diff --git a/api/_modules/cyclops/tasks/classification.html b/api/_modules/cyclops/tasks/classification.html index 62e14504a..e639dbc90 100644 --- a/api/_modules/cyclops/tasks/classification.html +++ b/api/_modules/cyclops/tasks/classification.html @@ -173,9 +173,9 @@

Source code for cyclops.tasks.classification

import numpy as np
 import pandas as pd
 from datasets import Dataset, DatasetDict, config
-from monai.transforms import Compose  # type: ignore
 from sklearn.compose import ColumnTransformer
 from sklearn.exceptions import NotFittedError
+from torchvision.transforms import Compose
 
 from cyclops.data.slicer import SliceSpec
 from cyclops.evaluate.evaluator import evaluate
@@ -601,7 +601,7 @@ 
Source code for cyclops.tasks.classification
splits_mapping = {"test": "test"}
         model_name, model = self.get_model(model_name)
         if transforms:
-            transforms = partial(apply_image_transforms, transforms=transforms)  # type: ignore
+            transforms = partial(apply_image_transforms, transforms=transforms)
         if isinstance(dataset, (Dataset, DatasetDict)):
             return model.predict(
                 dataset,
diff --git a/api/_sources/intro.rst.txt b/api/_sources/intro.rst.txt
index 36c728c5a..0bdbd94a8 100644
--- a/api/_sources/intro.rst.txt
+++ b/api/_sources/intro.rst.txt
@@ -13,27 +13,25 @@ models for healthcare. It provides a few high-level APIs namely:
 -  ``data`` - Create datasets for training, inference and evaluation. We
    use the popular 🤗
    `datasets `__ to efficiently
-   load and slice different modalities of data.
+   load and slice different modalities of data
 -  ``models`` - Use common model implementations using
    `scikit-learn `__ and
-   `PyTorch `__.
--  ``tasks`` - Use canonical Healthcare ML tasks such as
-
-   -  Mortality prediction
-   -  Chest X-ray classification
-
+   `PyTorch `__
+-  ``tasks`` - Use common ML task formulations such as binary
+   classification or multi-label classification on tabular, time-series
+   and image data
 -  ``evaluate`` - Evaluate models on clinical prediction tasks
 -  ``monitor`` - Detect dataset shift relevant for clinical use cases
 -  ``report`` - Create `model report
    cards `__
    for clinical ML models
 
-``cyclops`` also provides a library of end-to-end use cases on clinical
-datasets such as
+``cyclops`` also provides example end-to-end use case implementations on
+clinical datasets such as
 
--  `MIMIC-III `__
+-  `NIH chest
+   x-ray `__
 -  `MIMIC-IV `__
--  `eICU-CRD `__
 
 🐣 Getting Started
 ==================
@@ -45,33 +43,14 @@ Installing cyclops using pip
 
    python3 -m pip install pycyclops
 
-The base package installation supports the use of the ``data`` and
-``process`` APIs to load and transform clinical data, for downstream
-tasks.
-
-To install additional functionality from the other APIs, they can be
-installed as extras.
+The base cyclops installation doesn’t include modelling packages.
 
-To install with ``models``, ``tasks``, ``evaluate`` and ``monitor`` API
-support,
+To install additional dependencies for using models,
 
 .. code:: bash
 
    python3 -m pip install 'pycyclops[models]'
 
-To install with ``report`` API support,
-
-.. code:: bash
-
-   python3 -m pip install 'pycyclops[report]'
-
-Multiple extras could also be combined, for example to install with both
-``report`` and ``models`` support:
-
-.. code:: bash
-
-   python3 -m pip install 'pycyclops[report,models]'
-
 🧑🏿‍💻 Developing
 =======================
 
diff --git a/api/_sources/tutorials/nihcxr/cxr_classification.ipynb.txt b/api/_sources/tutorials/nihcxr/cxr_classification.ipynb.txt
index 32a96e026..06de21e8a 100644
--- a/api/_sources/tutorials/nihcxr/cxr_classification.ipynb.txt
+++ b/api/_sources/tutorials/nihcxr/cxr_classification.ipynb.txt
@@ -7,7 +7,7 @@
    "source": [
     "# Chest X-Ray Disease Classification\n",
     "\n",
-    "This notebook shows chest x-ray classification on the NIH dataset using a pretrained model from the TorchXRayVision library and CyclOps to generate a model card."
+    "This notebook shows chest x-ray classification on the [NIH dataset](https://www.nih.gov/news-events/news-releases/nih-clinical-center-provides-one-largest-publicly-available-chest-x-ray-datasets-scientific-community) using a pretrained model from the TorchXRayVision library and CyclOps to generate a model card."
    ]
   },
   {
@@ -33,7 +33,7 @@
     "\n",
     "import numpy as np\n",
     "import plotly.express as px\n",
-    "from monai.transforms import Compose, Lambdad, Resized\n",
+    "from torchvision.transforms import Compose\n",
     "from torchxrayvision.models import DenseNet\n",
     "\n",
     "from cyclops.data.loader import load_nihcxr\n",
@@ -41,6 +41,7 @@
     "    SliceSpec,\n",
     "    filter_value,  # noqa: E402\n",
     ")\n",
+    "from cyclops.data.transforms import Lambdad, Resized\n",
     "from cyclops.data.utils import apply_transforms\n",
     "from cyclops.evaluate import evaluator\n",
     "from cyclops.evaluate.metrics.factory import create_metric\n",
@@ -143,8 +144,9 @@
     "            allow_missing_keys=True,\n",
     "        ),\n",
     "        Lambdad(\n",
-    "            (\"image\",),\n",
-    "            func=lambda x: np.mean(x, axis=0)[np.newaxis, :] if x.shape[0] != 1 else x,\n",
+    "            keys=(\"image\",),\n",
+    "            func=lambda x: x[0][np.newaxis, :] if x.shape[0] != 1 else x,\n",
+    "            allow_missing_keys=True,\n",
     "        ),\n",
     "    ],\n",
     ")"
diff --git a/api/_sources/tutorials/nihcxr/monitor_api.ipynb.txt b/api/_sources/tutorials/nihcxr/monitor_api.ipynb.txt
index 929fc939f..a8ab67050 100644
--- a/api/_sources/tutorials/nihcxr/monitor_api.ipynb.txt
+++ b/api/_sources/tutorials/nihcxr/monitor_api.ipynb.txt
@@ -26,17 +26,25 @@
     "\"\"\"NIHCXR Clinical Drift Experiments Tutorial.\"\"\"\n",
     "\n",
     "\n",
+    "import random\n",
+    "\n",
     "import numpy as np\n",
-    "from monai.transforms import Compose, Lambdad, Resized\n",
+    "import torch\n",
+    "from torchvision.transforms import Compose\n",
     "from torchxrayvision.models import DenseNet\n",
     "\n",
     "from cyclops.data.loader import load_nihcxr\n",
     "from cyclops.data.slicer import SliceSpec\n",
+    "from cyclops.data.transforms import Lambdad, Resized\n",
     "from cyclops.monitor import ClinicalShiftApplicator, Detector, Reductor, TSTester\n",
     "from cyclops.monitor.plotter import plot_drift_experiment, plot_drift_timeseries\n",
     "\n",
     "\n",
-    "nih_ds = load_nihcxr(\"/mnt/data/clinical_datasets/NIHCXR\")[\"test\"]"
+    "nih_ds = load_nihcxr(\"/mnt/data/clinical_datasets/NIHCXR\")[\"test\"]\n",
+    "\n",
+    "random.seed(42)\n",
+    "np.random.seed(42)\n",
+    "torch.manual_seed(42)"
    ]
   },
   {
@@ -65,18 +73,19 @@
     "transforms = Compose(\n",
     "    [\n",
     "        Resized(\n",
-    "            keys=(\"image\",),\n",
     "            spatial_size=(224, 224),\n",
+    "            keys=(\"image\",),\n",
     "            allow_missing_keys=True,\n",
     "        ),\n",
     "        Lambdad(\n",
-    "            keys=(\"image\",),\n",
     "            func=lambda x: ((2 * (x / 255.0)) - 1.0) * 1024,\n",
+    "            keys=(\"image\",),\n",
     "            allow_missing_keys=True,\n",
     "        ),\n",
     "        Lambdad(\n",
-    "            (\"image\",),\n",
-    "            func=lambda x: np.mean(x, axis=0)[np.newaxis, :] if x.shape[0] != 1 else x,\n",
+    "            func=lambda x: x[0][np.newaxis, :] if x.shape[0] != 1 else x,\n",
+    "            keys=(\"image\",),\n",
+    "            allow_missing_keys=True,\n",
     "        ),\n",
     "    ],\n",
     ")"
diff --git a/api/intro.html b/api/intro.html
index edc274a14..bfb918e47 100644
--- a/api/intro.html
+++ b/api/intro.html
@@ -184,28 +184,25 @@
 
  • data - Create datasets for training, inference and evaluation. We
 use the popular 🤗
 datasets to efficiently
-load and slice different modalities of data.
    • 
+load and slice different modalities of data
    
 
  • models - Use common model implementations using
 scikit-learn and
-PyTorch.
    • 
-
  • tasks - Use canonical Healthcare ML tasks such as
    
-
      
-
    • Mortality prediction
      • 
-
    • Chest X-ray classification
      • 
-
    
-
    • 
+PyTorch
    
+
  • tasks - Use common ML task formulations such as binary
+classification or multi-label classification on tabular, time-series
+and image data
    • 
 
  • evaluate - Evaluate models on clinical prediction tasks
    • 
 
  • monitor - Detect dataset shift relevant for clinical use cases
    • 
 
  • report - Create model report
 cards
 for clinical ML models
    • 
 
-
    cyclops also provides a library of end-to-end use cases on clinical
-datasets such as
    
+
    cyclops also provides example end-to-end use case implementations on
+clinical datasets such as
    
 
 
    
 
    🐣 Getting Started
    
@@ -214,25 +211,11 @@ 
    Installing cyclops using pip
    python3 -m pip install pycyclops
 
    
 
    
-
    The base package installation supports the use of the data and
-process APIs to load and transform clinical data, for downstream
-tasks.
    
-
    To install additional functionality from the other APIs, they can be
-installed as extras.
    
-
    To install with models, tasks, evaluate and monitor API
-support,
    
+
    The base cyclops installation doesn’t include modelling packages.
    
+
    To install additional dependencies for using models,
    
 
    python3 -m pip install 'pycyclops[models]'
 
    
 
    
-
    To install with report API support,
    
-
    python3 -m pip install 'pycyclops[report]'
-
    
-
    
-
    Multiple extras could also be combined, for example to install with both
-report and models support:
    
-
    python3 -m pip install 'pycyclops[report,models]'
-
    
-
    
 
 
 
    
diff --git a/api/reference/api/_autosummary/cyclops.data.features.medical_image.MedicalImage.html b/api/reference/api/_autosummary/cyclops.data.features.medical_image.MedicalImage.html
index eef5139b9..43478d43d 100644
--- a/api/reference/api/_autosummary/cyclops.data.features.medical_image.MedicalImage.html
+++ b/api/reference/api/_autosummary/cyclops.data.features.medical_image.MedicalImage.html
@@ -195,10 +195,11 @@ 
    cyclops.data.features.medical_image.MedicalImage
 
    Parameters:
    
 
      
-
    • decode (bool, optional, default=True) – Whether to decode the image. If False, the image will be returned as a
-dictionary in the format {“path”: image_path, “bytes”: image_bytes}.
      • 
 
    • reader (Union[str, ImageReader], optional, default="ITKReader") – The MONAI image reader to use.
      • 
 
    • suffix (str, optional, default=".jpg") – The suffix to use when decoding bytes to image.
      • 
+
    • decode (bool, optional, default=True) – Whether to decode the image. If False, the image will be returned as a
+dictionary in the format {“path”: image_path, “bytes”: image_bytes}.
      • 
+
    • id (str, optional, default=None) – The id of the feature.
      • 
 
    
 
    
 
@@ -256,7 +257,7 @@ 
    cyclops.data.features.medical_image.MedicalImagecast_storage(storage)
 
    Cast an Arrow array to the Image arrow storage type.
 The Arrow types that can be converted to the Image pyarrow storage type are:
-:rtype: StructArray
    
+:rtype: StructArray
    
 
    
diff --git a/api/reference/api/_autosummary/cyclops.data.slicer.SliceSpec.html b/api/reference/api/_autosummary/cyclops.data.slicer.SliceSpec.html
index a3e182093..ca0645fc6 100644
--- a/api/reference/api/_autosummary/cyclops.data.slicer.SliceSpec.html
+++ b/api/reference/api/_autosummary/cyclops.data.slicer.SliceSpec.html
@@ -390,7 +390,7 @@ 
    cyclops.data.slicer.SliceSpecReturn type:
-
    None
    
+
    None
    
 
    
 
 
@@ -401,7 +401,7 @@ 
    cyclops.data.slicer.SliceSpec
 
    Return type:
    
-
    Dict[str, Callable[[Dict[str, Any]], Union[bool, List[bool]]]]
    
+
    Dict[str, Callable[[Dict[str, Any]], Union[bool, List[bool]]]]
    
 
    
 
 
@@ -412,7 +412,7 @@ 
    cyclops.data.slicer.SliceSpec
 
    Return type:
    
-
    Generator[Tuple[str, Callable[..., Any]], None, None]
    
+
    Generator[Tuple[str, Callable[..., Any]], None, None]
    
 
    
 
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.fairness.evaluator.warn_too_many_unique_values.html b/api/reference/api/_autosummary/cyclops.evaluate.fairness.evaluator.warn_too_many_unique_values.html
index c6a74e462..45d98a5b3 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.fairness.evaluator.warn_too_many_unique_values.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.fairness.evaluator.warn_too_many_unique_values.html
@@ -206,7 +206,7 @@ 
    cyclops.evaluate.fairness.evaluator.warn_too_many_unique_values
    TypeError – If unique_values is not a list or a mapping.
    
 
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
    
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.accuracy.Accuracy.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.accuracy.Accuracy.html
index 0d8079ca9..4ffd2e7b8 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.accuracy.Accuracy.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.accuracy.Accuracy.html
@@ -326,7 +326,7 @@ 
    cyclops.evaluate.metrics.accuracy.Accuracy
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -337,7 +337,7 @@ 
    cyclops.evaluate.metrics.accuracy.Accuracy
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -354,7 +354,7 @@ 
    cyclops.evaluate.metrics.accuracy.Accuracy
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -377,7 +377,7 @@ 
    cyclops.evaluate.metrics.accuracy.AccuracyReturn type:
-
    None
    
+
    None
    
 
    
 
 
@@ -388,7 +388,7 @@ 
    cyclops.evaluate.metrics.accuracy.Accuracy
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -399,7 +399,7 @@ 
    cyclops.evaluate.metrics.accuracy.Accuracy
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -412,7 +412,7 @@ 
    cyclops.evaluate.metrics.accuracy.Accuracy
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -423,7 +423,7 @@ 
    cyclops.evaluate.metrics.accuracy.Accuracy
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.accuracy.BinaryAccuracy.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.accuracy.BinaryAccuracy.html
index 866a32d95..6b0312679 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.accuracy.BinaryAccuracy.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.accuracy.BinaryAccuracy.html
@@ -267,7 +267,7 @@ 
    cyclops.evaluate.metrics.accuracy.BinaryAccuracy
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -278,7 +278,7 @@ 
    cyclops.evaluate.metrics.accuracy.BinaryAccuracy
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -295,7 +295,7 @@ 
    cyclops.evaluate.metrics.accuracy.BinaryAccuracy
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -318,7 +318,7 @@ 
    cyclops.evaluate.metrics.accuracy.BinaryAccuracyReturn type:
-
    None
    
+
    None
    
 
    
 
 
@@ -329,7 +329,7 @@ 
    cyclops.evaluate.metrics.accuracy.BinaryAccuracy
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -340,7 +340,7 @@ 
    cyclops.evaluate.metrics.accuracy.BinaryAccuracy
 
    Return type:
    
-
    float
    
+
    float
    
 
    
 
 
@@ -353,7 +353,7 @@ 
    cyclops.evaluate.metrics.accuracy.BinaryAccuracy
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -364,7 +364,7 @@ 
    cyclops.evaluate.metrics.accuracy.BinaryAccuracy
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.accuracy.MulticlassAccuracy.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.accuracy.MulticlassAccuracy.html
index 4fb907bf9..12ccd8fd8 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.accuracy.MulticlassAccuracy.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.accuracy.MulticlassAccuracy.html
@@ -283,7 +283,7 @@ 
    cyclops.evaluate.metrics.accuracy.MulticlassAccuracy
    Add two metrics or a metric and a scalar together.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -294,7 +294,7 @@ 
    cyclops.evaluate.metrics.accuracy.MulticlassAccuracy
    Update the global metric state and compute the metric for a batch.
    
 
    
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
    
 
@@ -311,7 +311,7 @@ 
    cyclops.evaluate.metrics.accuracy.MulticlassAccuracy
    Multiply two metrics or a metric and a scalar together.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -334,7 +334,7 @@ 
    cyclops.evaluate.metrics.accuracy.MulticlassAccuracy
 
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -345,7 +345,7 @@ 
    cyclops.evaluate.metrics.accuracy.MulticlassAccuracy
    Return a copy of the metric.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -356,7 +356,7 @@ 
    cyclops.evaluate.metrics.accuracy.MulticlassAccuracy
    Compute the accuracy score from the state.
    
 
    
 
    Return type:
    
-
    Union[float, ndarray[Any, dtype[float64]]]
    
+
    Union[float, ndarray[Any, dtype[float64]]]
    
 
    
 
    
 
@@ -369,7 +369,7 @@ 
    cyclops.evaluate.metrics.accuracy.MulticlassAccuracy
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
@@ -380,7 +380,7 @@ 
    cyclops.evaluate.metrics.accuracy.MulticlassAccuracy
    Update the state variables.
    
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.accuracy.MultilabelAccuracy.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.accuracy.MultilabelAccuracy.html
index ba331d958..e5c94ae19 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.accuracy.MultilabelAccuracy.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.accuracy.MultilabelAccuracy.html
@@ -286,7 +286,7 @@ 
    cyclops.evaluate.metrics.accuracy.MultilabelAccuracy
    Add two metrics or a metric and a scalar together.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -297,7 +297,7 @@ 
    cyclops.evaluate.metrics.accuracy.MultilabelAccuracy
    Update the global metric state and compute the metric for a batch.
    
 
    
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
    
 
@@ -314,7 +314,7 @@ 
    cyclops.evaluate.metrics.accuracy.MultilabelAccuracy
    Multiply two metrics or a metric and a scalar together.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -337,7 +337,7 @@ 
    cyclops.evaluate.metrics.accuracy.MultilabelAccuracy
 
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -348,7 +348,7 @@ 
    cyclops.evaluate.metrics.accuracy.MultilabelAccuracy
    Return a copy of the metric.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -359,7 +359,7 @@ 
    cyclops.evaluate.metrics.accuracy.MultilabelAccuracy
    Compute the accuracy score from the state.
    
 
    
 
    Return type:
    
-
    Union[float, ndarray[Any, dtype[float64]]]
    
+
    Union[float, ndarray[Any, dtype[float64]]]
    
 
    
 
    
 
@@ -372,7 +372,7 @@ 
    cyclops.evaluate.metrics.accuracy.MultilabelAccuracy
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
@@ -383,7 +383,7 @@ 
    cyclops.evaluate.metrics.accuracy.MultilabelAccuracy
    Update the state variables.
    
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.auroc.AUROC.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.auroc.AUROC.html
index d97600791..08bdb5276 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.auroc.AUROC.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.auroc.AUROC.html
@@ -323,7 +323,7 @@ 
    cyclops.evaluate.metrics.auroc.AUROC
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -334,7 +334,7 @@ 
    cyclops.evaluate.metrics.auroc.AUROC
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -351,7 +351,7 @@ 
    cyclops.evaluate.metrics.auroc.AUROC
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -374,7 +374,7 @@ 
    cyclops.evaluate.metrics.auroc.AUROCReturn type:
-
    None
    
+
    None
    
 
    
 
 
@@ -385,7 +385,7 @@ 
    cyclops.evaluate.metrics.auroc.AUROC
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -396,7 +396,7 @@ 
    cyclops.evaluate.metrics.auroc.AUROC
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -409,7 +409,7 @@ 
    cyclops.evaluate.metrics.auroc.AUROC
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -420,7 +420,7 @@ 
    cyclops.evaluate.metrics.auroc.AUROC
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.auroc.BinaryAUROC.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.auroc.BinaryAUROC.html
index a2ece0778..23abaf469 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.auroc.BinaryAUROC.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.auroc.BinaryAUROC.html
@@ -268,7 +268,7 @@ 
    cyclops.evaluate.metrics.auroc.BinaryAUROC
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -279,7 +279,7 @@ 
    cyclops.evaluate.metrics.auroc.BinaryAUROC
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -296,7 +296,7 @@ 
    cyclops.evaluate.metrics.auroc.BinaryAUROC
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -319,7 +319,7 @@ 
    cyclops.evaluate.metrics.auroc.BinaryAUROCReturn type:
-
    None
    
+
    None
    
 
    
 
 
@@ -330,7 +330,7 @@ 
    cyclops.evaluate.metrics.auroc.BinaryAUROC
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -341,7 +341,7 @@ 
    cyclops.evaluate.metrics.auroc.BinaryAUROC
 
    Return type:
    
-
    float
    
+
    float
    
 
    
 
 
@@ -354,7 +354,7 @@ 
    cyclops.evaluate.metrics.auroc.BinaryAUROC
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -367,7 +367,7 @@ 
    cyclops.evaluate.metrics.auroc.BinaryAUROCNone) or a confusion matrix.
    
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.auroc.MulticlassAUROC.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.auroc.MulticlassAUROC.html
index 5e5195685..d08c1afb5 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.auroc.MulticlassAUROC.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.auroc.MulticlassAUROC.html
@@ -284,7 +284,7 @@ 
    cyclops.evaluate.metrics.auroc.MulticlassAUROC
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -295,7 +295,7 @@ 
    cyclops.evaluate.metrics.auroc.MulticlassAUROC
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -312,7 +312,7 @@ 
    cyclops.evaluate.metrics.auroc.MulticlassAUROC
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -335,7 +335,7 @@ 
    cyclops.evaluate.metrics.auroc.MulticlassAUROCReturn type:
-
    None
    
+
    None
    
 
    
 
 
@@ -346,7 +346,7 @@ 
    cyclops.evaluate.metrics.auroc.MulticlassAUROC
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -357,7 +357,7 @@ 
    cyclops.evaluate.metrics.auroc.MulticlassAUROC
 
    Return type:
    
-
    Union[float, ndarray[Any, dtype[float64]]]
    
+
    Union[float, ndarray[Any, dtype[float64]]]
    
 
    
 
 
@@ -370,7 +370,7 @@ 
    cyclops.evaluate.metrics.auroc.MulticlassAUROC
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -383,7 +383,7 @@ 
    cyclops.evaluate.metrics.auroc.MulticlassAUROCNone) or a confusion matrix.
    
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.auroc.MultilabelAUROC.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.auroc.MultilabelAUROC.html
index 692b0b2b9..6dadc0ad3 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.auroc.MultilabelAUROC.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.auroc.MultilabelAUROC.html
@@ -283,7 +283,7 @@ 
    cyclops.evaluate.metrics.auroc.MultilabelAUROC
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -294,7 +294,7 @@ 
    cyclops.evaluate.metrics.auroc.MultilabelAUROC
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -311,7 +311,7 @@ 
    cyclops.evaluate.metrics.auroc.MultilabelAUROC
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -334,7 +334,7 @@ 
    cyclops.evaluate.metrics.auroc.MultilabelAUROCReturn type:
-
    None
    
+
    None
    
 
    
 
 
@@ -345,7 +345,7 @@ 
    cyclops.evaluate.metrics.auroc.MultilabelAUROC
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -356,7 +356,7 @@ 
    cyclops.evaluate.metrics.auroc.MultilabelAUROC
 
    Return type:
    
-
    Union[float, ndarray[Any, dtype[float64]]]
    
+
    Union[float, ndarray[Any, dtype[float64]]]
    
 
    
 
 
@@ -369,7 +369,7 @@ 
    cyclops.evaluate.metrics.auroc.MultilabelAUROC
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -382,7 +382,7 @@ 
    cyclops.evaluate.metrics.auroc.MultilabelAUROCNone) or a confusion matrix.
    
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.f_beta.BinaryF1Score.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.f_beta.BinaryF1Score.html
index f12b101b9..81d0a6926 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.f_beta.BinaryF1Score.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.f_beta.BinaryF1Score.html
@@ -266,7 +266,7 @@ 
    cyclops.evaluate.metrics.f_beta.BinaryF1Score
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -277,7 +277,7 @@ 
    cyclops.evaluate.metrics.f_beta.BinaryF1Score
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -294,7 +294,7 @@ 
    cyclops.evaluate.metrics.f_beta.BinaryF1Score
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -317,7 +317,7 @@ 
    cyclops.evaluate.metrics.f_beta.BinaryF1ScoreReturn type:
-
    None
    
+
    None
    
 
    
 
 
@@ -328,7 +328,7 @@ 
    cyclops.evaluate.metrics.f_beta.BinaryF1Score
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -339,7 +339,7 @@ 
    cyclops.evaluate.metrics.f_beta.BinaryF1Score
 
    Return type:
    
-
    float
    
+
    float
    
 
    
 
 
@@ -352,7 +352,7 @@ 
    cyclops.evaluate.metrics.f_beta.BinaryF1Score
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -363,7 +363,7 @@ 
    cyclops.evaluate.metrics.f_beta.BinaryF1Score
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.f_beta.BinaryFbetaScore.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.f_beta.BinaryFbetaScore.html
index 1ae7064dd..171b9e5bb 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.f_beta.BinaryFbetaScore.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.f_beta.BinaryFbetaScore.html
@@ -267,7 +267,7 @@ 
    cyclops.evaluate.metrics.f_beta.BinaryFbetaScore
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -278,7 +278,7 @@ 
    cyclops.evaluate.metrics.f_beta.BinaryFbetaScore
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -295,7 +295,7 @@ 
    cyclops.evaluate.metrics.f_beta.BinaryFbetaScore
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -318,7 +318,7 @@ 
    cyclops.evaluate.metrics.f_beta.BinaryFbetaScoreReturn type:
-
    None
    
+
    None
    
 
    
 
 
@@ -329,7 +329,7 @@ 
    cyclops.evaluate.metrics.f_beta.BinaryFbetaScore
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -340,7 +340,7 @@ 
    cyclops.evaluate.metrics.f_beta.BinaryFbetaScore
 
    Return type:
    
-
    float
    
+
    float
    
 
    
 
 
@@ -353,7 +353,7 @@ 
    cyclops.evaluate.metrics.f_beta.BinaryFbetaScore
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -364,7 +364,7 @@ 
    cyclops.evaluate.metrics.f_beta.BinaryFbetaScore
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.f_beta.F1Score.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.f_beta.F1Score.html
index 3132256eb..fc780c097 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.f_beta.F1Score.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.f_beta.F1Score.html
@@ -328,7 +328,7 @@ 
    cyclops.evaluate.metrics.f_beta.F1Score
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -339,7 +339,7 @@ 
    cyclops.evaluate.metrics.f_beta.F1Score
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -356,7 +356,7 @@ 
    cyclops.evaluate.metrics.f_beta.F1Score
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -379,7 +379,7 @@ 
    cyclops.evaluate.metrics.f_beta.F1ScoreReturn type:
-
    None
    
+
    None
    
 
    
 
 
@@ -390,7 +390,7 @@ 
    cyclops.evaluate.metrics.f_beta.F1Score
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -401,7 +401,7 @@ 
    cyclops.evaluate.metrics.f_beta.F1Score
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -414,7 +414,7 @@ 
    cyclops.evaluate.metrics.f_beta.F1Score
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -425,7 +425,7 @@ 
    cyclops.evaluate.metrics.f_beta.F1Score
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.f_beta.FbetaScore.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.f_beta.FbetaScore.html
index 363c80f4d..c08601907 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.f_beta.FbetaScore.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.f_beta.FbetaScore.html
@@ -326,7 +326,7 @@ 
    cyclops.evaluate.metrics.f_beta.FbetaScore
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -337,7 +337,7 @@ 
    cyclops.evaluate.metrics.f_beta.FbetaScore
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -354,7 +354,7 @@ 
    cyclops.evaluate.metrics.f_beta.FbetaScore
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -377,7 +377,7 @@ 
    cyclops.evaluate.metrics.f_beta.FbetaScoreReturn type:
-
    None
    
+
    None
    
 
    
 
 
@@ -388,7 +388,7 @@ 
    cyclops.evaluate.metrics.f_beta.FbetaScore
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -399,7 +399,7 @@ 
    cyclops.evaluate.metrics.f_beta.FbetaScore
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -412,7 +412,7 @@ 
    cyclops.evaluate.metrics.f_beta.FbetaScore
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -423,7 +423,7 @@ 
    cyclops.evaluate.metrics.f_beta.FbetaScore
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.f_beta.MulticlassF1Score.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.f_beta.MulticlassF1Score.html
index e28bda4ba..daa911c91 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.f_beta.MulticlassF1Score.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.f_beta.MulticlassF1Score.html
@@ -287,7 +287,7 @@ 
    cyclops.evaluate.metrics.f_beta.MulticlassF1Score
    Add two metrics or a metric and a scalar together.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -298,7 +298,7 @@ 
    cyclops.evaluate.metrics.f_beta.MulticlassF1Score
    Update the global metric state and compute the metric for a batch.
    
 
    
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
    
 
@@ -315,7 +315,7 @@ 
    cyclops.evaluate.metrics.f_beta.MulticlassF1Score
    Multiply two metrics or a metric and a scalar together.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -338,7 +338,7 @@ 
    cyclops.evaluate.metrics.f_beta.MulticlassF1Score
 
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -349,7 +349,7 @@ 
    cyclops.evaluate.metrics.f_beta.MulticlassF1Score
    Return a copy of the metric.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -360,7 +360,7 @@ 
    cyclops.evaluate.metrics.f_beta.MulticlassF1Score
    Compute the metric from the state.
    
 
    
 
    Return type:
    
-
    Union[float, ndarray[Any, dtype[float64]]]
    
+
    Union[float, ndarray[Any, dtype[float64]]]
    
 
    
 
    
 
@@ -373,7 +373,7 @@ 
    cyclops.evaluate.metrics.f_beta.MulticlassF1Score
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
@@ -384,7 +384,7 @@ 
    cyclops.evaluate.metrics.f_beta.MulticlassF1Score
    Update the state variables.
    
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.f_beta.MulticlassFbetaScore.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.f_beta.MulticlassFbetaScore.html
index 289f1ebb3..df1100705 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.f_beta.MulticlassFbetaScore.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.f_beta.MulticlassFbetaScore.html
@@ -295,7 +295,7 @@ 
    cyclops.evaluate.metrics.f_beta.MulticlassFbetaScore
    Add two metrics or a metric and a scalar together.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -306,7 +306,7 @@ 
    cyclops.evaluate.metrics.f_beta.MulticlassFbetaScore
    Update the global metric state and compute the metric for a batch.
    
 
    
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
    
 
@@ -323,7 +323,7 @@ 
    cyclops.evaluate.metrics.f_beta.MulticlassFbetaScore
    Multiply two metrics or a metric and a scalar together.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -346,7 +346,7 @@ 
    cyclops.evaluate.metrics.f_beta.MulticlassFbetaScore
 
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -357,7 +357,7 @@ 
    cyclops.evaluate.metrics.f_beta.MulticlassFbetaScore
    Return a copy of the metric.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -368,7 +368,7 @@ 
    cyclops.evaluate.metrics.f_beta.MulticlassFbetaScore
    Compute the metric from the state.
    
 
    
 
    Return type:
    
-
    Union[float, ndarray[Any, dtype[float64]]]
    
+
    Union[float, ndarray[Any, dtype[float64]]]
    
 
    
 
    
 
@@ -381,7 +381,7 @@ 
    cyclops.evaluate.metrics.f_beta.MulticlassFbetaScore
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
@@ -392,7 +392,7 @@ 
    cyclops.evaluate.metrics.f_beta.MulticlassFbetaScore
    Update the state variables.
    
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.f_beta.MultilabelF1Score.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.f_beta.MultilabelF1Score.html
index 02f79b7fa..20231409f 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.f_beta.MultilabelF1Score.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.f_beta.MultilabelF1Score.html
@@ -292,7 +292,7 @@ 
    cyclops.evaluate.metrics.f_beta.MultilabelF1Score
    Add two metrics or a metric and a scalar together.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -303,7 +303,7 @@ 
    cyclops.evaluate.metrics.f_beta.MultilabelF1Score
    Update the global metric state and compute the metric for a batch.
    
 
    
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
    
 
@@ -320,7 +320,7 @@ 
    cyclops.evaluate.metrics.f_beta.MultilabelF1Score
    Multiply two metrics or a metric and a scalar together.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -343,7 +343,7 @@ 
    cyclops.evaluate.metrics.f_beta.MultilabelF1Score
 
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -354,7 +354,7 @@ 
    cyclops.evaluate.metrics.f_beta.MultilabelF1Score
    Return a copy of the metric.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -365,7 +365,7 @@ 
    cyclops.evaluate.metrics.f_beta.MultilabelF1Score
    Compute the metric from the state.
    
 
    
 
    Return type:
    
-
    Union[float, ndarray[Any, dtype[float64]]]
    
+
    Union[float, ndarray[Any, dtype[float64]]]
    
 
    
 
    
 
@@ -378,7 +378,7 @@ 
    cyclops.evaluate.metrics.f_beta.MultilabelF1Score
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
@@ -389,7 +389,7 @@ 
    cyclops.evaluate.metrics.f_beta.MultilabelF1Score
    Update the state variables.
    
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.f_beta.MultilabelFbetaScore.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.f_beta.MultilabelFbetaScore.html
index a57819ad6..fd949a438 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.f_beta.MultilabelFbetaScore.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.f_beta.MultilabelFbetaScore.html
@@ -288,7 +288,7 @@ 
    cyclops.evaluate.metrics.f_beta.MultilabelFbetaScore
    Add two metrics or a metric and a scalar together.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -299,7 +299,7 @@ 
    cyclops.evaluate.metrics.f_beta.MultilabelFbetaScore
    Update the global metric state and compute the metric for a batch.
    
 
    
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
    
 
@@ -316,7 +316,7 @@ 
    cyclops.evaluate.metrics.f_beta.MultilabelFbetaScore
    Multiply two metrics or a metric and a scalar together.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -339,7 +339,7 @@ 
    cyclops.evaluate.metrics.f_beta.MultilabelFbetaScore
 
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -350,7 +350,7 @@ 
    cyclops.evaluate.metrics.f_beta.MultilabelFbetaScore
    Return a copy of the metric.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -361,7 +361,7 @@ 
    cyclops.evaluate.metrics.f_beta.MultilabelFbetaScore
    Compute the metric from the state.
    
 
    
 
    Return type:
    
-
    Union[float, ndarray[Any, dtype[float64]]]
    
+
    Union[float, ndarray[Any, dtype[float64]]]
    
 
    
 
    
 
@@ -374,7 +374,7 @@ 
    cyclops.evaluate.metrics.f_beta.MultilabelFbetaScore
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
@@ -385,7 +385,7 @@ 
    cyclops.evaluate.metrics.f_beta.MultilabelFbetaScore
    Update the state variables.
    
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.functional.roc.binary_roc_curve.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.functional.roc.binary_roc_curve.html
index b75f0a3e2..39ed4efcf 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.functional.roc.binary_roc_curve.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.functional.roc.binary_roc_curve.html
@@ -217,7 +217,7 @@ 
    cyclops.evaluate.metrics.functional.roc.binary_roc_curveReturn type:
-
    Tuple[ndarray[Any, dtype[float64]], ndarray[Any, dtype[float64]], ndarray[Any, dtype[float64]]]
    
+
    Tuple[ndarray[Any, dtype[float64]], ndarray[Any, dtype[float64]], ndarray[Any, dtype[float64]]]
    
 
    
 
    Returns:
    
 
    
@@ -290,7 +290,7 @@ 
    cyclops.evaluate.metrics.metric.MetricReturn type:
-
    None
    
+
    None
    
 
    
 
 
@@ -301,7 +301,7 @@ 
    cyclops.evaluate.metrics.metric.Metric
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -312,7 +312,7 @@ 
    cyclops.evaluate.metrics.metric.Metric
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -333,7 +333,7 @@ 
    cyclops.evaluate.metrics.metric.Metric
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -344,7 +344,7 @@ 
    cyclops.evaluate.metrics.metric.Metric
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.metric.MetricCollection.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.metric.MetricCollection.html
index 31284a6b1..32ed523ec 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.metric.MetricCollection.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.metric.MetricCollection.html
@@ -289,7 +289,7 @@ 
    cyclops.evaluate.metrics.metric.MetricCollection
 
    Return type:
    
-
    Dict[str, Any]
    
+
    Dict[str, Any]
    
 
    
 
 
@@ -306,7 +306,7 @@ 
    cyclops.evaluate.metrics.metric.MetricCollection
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -342,7 +342,7 @@ 
    cyclops.evaluate.metrics.metric.MetricCollection
 
    Return type:
    
-
    Dict[str, Any]
    
+
    Dict[str, Any]
    
 
    
 
 
@@ -361,7 +361,7 @@ 
    cyclops.evaluate.metrics.metric.MetricCollection
    keep_base (bool) – Whether to add prefix/postfix on the collection.
    
 
 
    Return type:
    
-
    Iterable[Tuple[str, Metric]]
    
+
    Iterable[Tuple[str, Metric]]
    
 
    
 
 
@@ -375,7 +375,7 @@ 
    cyclops.evaluate.metrics.metric.MetricCollection
    keep_base (bool) – Whether to add prefix/postfix on the items collection.
    
 
 
    Return type:
    
-
    Iterable[Hashable]
    
+
    Iterable[Hashable]
    
 
    
 
 
@@ -398,7 +398,7 @@ 
    cyclops.evaluate.metrics.metric.MetricCollection
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -429,7 +429,7 @@ 
    cyclops.evaluate.metrics.metric.MetricCollectionReturn type:
-
    None
    
+
    None
    
 
    
 
 
@@ -443,7 +443,7 @@ 
    cyclops.evaluate.metrics.metric.MetricCollection
    keep_base (bool) – Whether to add prefix/postfix on the collection.
    
 
 
    Return type:
    
-
    Iterable[Metric]
    
+
    Iterable[Metric]
    
 
    
 
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.metric.OperatorMetric.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.metric.OperatorMetric.html
index c82be55d3..f673dc12c 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.metric.OperatorMetric.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.metric.OperatorMetric.html
@@ -249,7 +249,7 @@ 
    cyclops.evaluate.metrics.metric.OperatorMetric
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -260,7 +260,7 @@ 
    cyclops.evaluate.metrics.metric.OperatorMetric
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -277,7 +277,7 @@ 
    cyclops.evaluate.metrics.metric.OperatorMetric
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -300,7 +300,7 @@ 
    cyclops.evaluate.metrics.metric.OperatorMetricReturn type:
-
    None
    
+
    None
    
 
    
 
 
@@ -311,7 +311,7 @@ 
    cyclops.evaluate.metrics.metric.OperatorMetric
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -322,7 +322,7 @@ 
    cyclops.evaluate.metrics.metric.OperatorMetric
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -333,7 +333,7 @@ 
    cyclops.evaluate.metrics.metric.OperatorMetric
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -344,7 +344,7 @@ 
    cyclops.evaluate.metrics.metric.OperatorMetric
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall.BinaryPrecision.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall.BinaryPrecision.html
index 355dc5174..6290112fa 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall.BinaryPrecision.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall.BinaryPrecision.html
@@ -265,7 +265,7 @@ 
    cyclops.evaluate.metrics.precision_recall.BinaryPrecision
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -276,7 +276,7 @@ 
    cyclops.evaluate.metrics.precision_recall.BinaryPrecision
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -293,7 +293,7 @@ 
    cyclops.evaluate.metrics.precision_recall.BinaryPrecision
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -316,7 +316,7 @@ 
    cyclops.evaluate.metrics.precision_recall.BinaryPrecisionReturn type:
-
    None
    
+
    None
    
 
    
 
 
@@ -327,7 +327,7 @@ 
    cyclops.evaluate.metrics.precision_recall.BinaryPrecision
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -338,7 +338,7 @@ 
    cyclops.evaluate.metrics.precision_recall.BinaryPrecision
 
    Return type:
    
-
    float
    
+
    float
    
 
    
 
 
@@ -351,7 +351,7 @@ 
    cyclops.evaluate.metrics.precision_recall.BinaryPrecision
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -362,7 +362,7 @@ 
    cyclops.evaluate.metrics.precision_recall.BinaryPrecision
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall.BinaryRecall.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall.BinaryRecall.html
index 14f5d102b..59c6d36d4 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall.BinaryRecall.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall.BinaryRecall.html
@@ -265,7 +265,7 @@ 
    cyclops.evaluate.metrics.precision_recall.BinaryRecall
    Add two metrics or a metric and a scalar together.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -276,7 +276,7 @@ 
    cyclops.evaluate.metrics.precision_recall.BinaryRecall
    Update the global metric state and compute the metric for a batch.
    
 
    
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
    
 
@@ -293,7 +293,7 @@ 
    cyclops.evaluate.metrics.precision_recall.BinaryRecall
    Multiply two metrics or a metric and a scalar together.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -316,7 +316,7 @@ 
    cyclops.evaluate.metrics.precision_recall.BinaryRecall
 
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -327,7 +327,7 @@ 
    cyclops.evaluate.metrics.precision_recall.BinaryRecall
    Return a copy of the metric.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -338,7 +338,7 @@ 
    cyclops.evaluate.metrics.precision_recall.BinaryRecall
    Compute the recall score from the state.
    
 
    
 
    Return type:
    
-
    float
    
+
    float
    
 
    
 
    
 
@@ -351,7 +351,7 @@ 
    cyclops.evaluate.metrics.precision_recall.BinaryRecall
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
@@ -362,7 +362,7 @@ 
    cyclops.evaluate.metrics.precision_recall.BinaryRecall
    Update the state variables.
    
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall.MulticlassPrecision.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall.MulticlassPrecision.html
index d9328d256..d87f590c9 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall.MulticlassPrecision.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall.MulticlassPrecision.html
@@ -297,7 +297,7 @@ 
    cyclops.evaluate.metrics.precision_recall.MulticlassPrecision
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -308,7 +308,7 @@ 
    cyclops.evaluate.metrics.precision_recall.MulticlassPrecision
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -325,7 +325,7 @@ 
    cyclops.evaluate.metrics.precision_recall.MulticlassPrecision
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -348,7 +348,7 @@ 
    cyclops.evaluate.metrics.precision_recall.MulticlassPrecisionReturn type:
-
    None
    
+
    None
    
 
    
 
 
@@ -359,7 +359,7 @@ 
    cyclops.evaluate.metrics.precision_recall.MulticlassPrecision
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -370,7 +370,7 @@ 
    cyclops.evaluate.metrics.precision_recall.MulticlassPrecision
 
    Return type:
    
-
    Union[ndarray[Any, dtype[float64]], float]
    
+
    Union[ndarray[Any, dtype[float64]], float]
    
 
    
 
 
@@ -383,7 +383,7 @@ 
    cyclops.evaluate.metrics.precision_recall.MulticlassPrecision
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -394,7 +394,7 @@ 
    cyclops.evaluate.metrics.precision_recall.MulticlassPrecision
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall.MulticlassRecall.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall.MulticlassRecall.html
index c5456e79e..56e8186a4 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall.MulticlassRecall.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall.MulticlassRecall.html
@@ -298,7 +298,7 @@ 
    cyclops.evaluate.metrics.precision_recall.MulticlassRecall
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -309,7 +309,7 @@ 
    cyclops.evaluate.metrics.precision_recall.MulticlassRecall
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -326,7 +326,7 @@ 
    cyclops.evaluate.metrics.precision_recall.MulticlassRecall
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -349,7 +349,7 @@ 
    cyclops.evaluate.metrics.precision_recall.MulticlassRecallReturn type:
-
    None
    
+
    None
    
 
    
 
 
@@ -360,7 +360,7 @@ 
    cyclops.evaluate.metrics.precision_recall.MulticlassRecall
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -371,7 +371,7 @@ 
    cyclops.evaluate.metrics.precision_recall.MulticlassRecall
 
    Return type:
    
-
    Union[ndarray[Any, dtype[float64]], float]
    
+
    Union[ndarray[Any, dtype[float64]], float]
    
 
    
 
 
@@ -384,7 +384,7 @@ 
    cyclops.evaluate.metrics.precision_recall.MulticlassRecall
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -395,7 +395,7 @@ 
    cyclops.evaluate.metrics.precision_recall.MulticlassRecall
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall.MultilabelPrecision.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall.MultilabelPrecision.html
index 0cc4dd276..521bf7151 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall.MultilabelPrecision.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall.MultilabelPrecision.html
@@ -292,7 +292,7 @@ 
    cyclops.evaluate.metrics.precision_recall.MultilabelPrecision
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -303,7 +303,7 @@ 
    cyclops.evaluate.metrics.precision_recall.MultilabelPrecision
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -320,7 +320,7 @@ 
    cyclops.evaluate.metrics.precision_recall.MultilabelPrecision
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -343,7 +343,7 @@ 
    cyclops.evaluate.metrics.precision_recall.MultilabelPrecisionReturn type:
-
    None
    
+
    None
    
 
    
 
 
@@ -354,7 +354,7 @@ 
    cyclops.evaluate.metrics.precision_recall.MultilabelPrecision
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -365,7 +365,7 @@ 
    cyclops.evaluate.metrics.precision_recall.MultilabelPrecision
 
    Return type:
    
-
    Union[ndarray[Any, dtype[float64]], float]
    
+
    Union[ndarray[Any, dtype[float64]], float]
    
 
    
 
 
@@ -378,7 +378,7 @@ 
    cyclops.evaluate.metrics.precision_recall.MultilabelPrecision
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -389,7 +389,7 @@ 
    cyclops.evaluate.metrics.precision_recall.MultilabelPrecision
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall.MultilabelRecall.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall.MultilabelRecall.html
index e03fb06f1..dfafa2fb9 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall.MultilabelRecall.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall.MultilabelRecall.html
@@ -288,7 +288,7 @@ 
    cyclops.evaluate.metrics.precision_recall.MultilabelRecall
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -299,7 +299,7 @@ 
    cyclops.evaluate.metrics.precision_recall.MultilabelRecall
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -316,7 +316,7 @@ 
    cyclops.evaluate.metrics.precision_recall.MultilabelRecall
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -339,7 +339,7 @@ 
    cyclops.evaluate.metrics.precision_recall.MultilabelRecallReturn type:
-
    None
    
+
    None
    
 
    
 
 
@@ -350,7 +350,7 @@ 
    cyclops.evaluate.metrics.precision_recall.MultilabelRecall
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -361,7 +361,7 @@ 
    cyclops.evaluate.metrics.precision_recall.MultilabelRecall
 
    Return type:
    
-
    Union[ndarray[Any, dtype[float64]], float]
    
+
    Union[ndarray[Any, dtype[float64]], float]
    
 
    
 
 
@@ -374,7 +374,7 @@ 
    cyclops.evaluate.metrics.precision_recall.MultilabelRecall
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -385,7 +385,7 @@ 
    cyclops.evaluate.metrics.precision_recall.MultilabelRecall
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall.Precision.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall.Precision.html
index 17c1b7595..3a0085784 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall.Precision.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall.Precision.html
@@ -337,7 +337,7 @@ 
    cyclops.evaluate.metrics.precision_recall.Precision
    Add two metrics or a metric and a scalar together.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -348,7 +348,7 @@ 
    cyclops.evaluate.metrics.precision_recall.Precision
    Update the global metric state and compute the metric for a batch.
    
 
    
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
    
 
@@ -365,7 +365,7 @@ 
    cyclops.evaluate.metrics.precision_recall.Precision
    Multiply two metrics or a metric and a scalar together.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -388,7 +388,7 @@ 
    cyclops.evaluate.metrics.precision_recall.Precision
 
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -399,7 +399,7 @@ 
    cyclops.evaluate.metrics.precision_recall.Precision
    Return a copy of the metric.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -410,7 +410,7 @@ 
    cyclops.evaluate.metrics.precision_recall.Precision
    Compute the final value of the metric from the state variables.
    
 
    
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
    
 
@@ -423,7 +423,7 @@ 
    cyclops.evaluate.metrics.precision_recall.Precision
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
@@ -434,7 +434,7 @@ 
    cyclops.evaluate.metrics.precision_recall.Precision
    Update the state of the metric.
    
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall.Recall.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall.Recall.html
index a05af1f5a..12d799a10 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall.Recall.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall.Recall.html
@@ -341,7 +341,7 @@ 
    cyclops.evaluate.metrics.precision_recall.Recall
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -352,7 +352,7 @@ 
    cyclops.evaluate.metrics.precision_recall.Recall
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -369,7 +369,7 @@ 
    cyclops.evaluate.metrics.precision_recall.Recall
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -392,7 +392,7 @@ 
    cyclops.evaluate.metrics.precision_recall.RecallReturn type:
-
    None
    
+
    None
    
 
    
 
 
@@ -403,7 +403,7 @@ 
    cyclops.evaluate.metrics.precision_recall.Recall
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -414,7 +414,7 @@ 
    cyclops.evaluate.metrics.precision_recall.Recall
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -427,7 +427,7 @@ 
    cyclops.evaluate.metrics.precision_recall.Recall
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -438,7 +438,7 @@ 
    cyclops.evaluate.metrics.precision_recall.Recall
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall_curve.BinaryPrecisionRecallCurve.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall_curve.BinaryPrecisionRecallCurve.html
index c426382d7..21ea47861 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall_curve.BinaryPrecisionRecallCurve.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall_curve.BinaryPrecisionRecallCurve.html
@@ -269,7 +269,7 @@ 
    cyclops.evaluate.metrics.precision_recall_curve.BinaryPrecisionRecallCurve
    Add two metrics or a metric and a scalar together.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -280,7 +280,7 @@ 
    cyclops.evaluate.metrics.precision_recall_curve.BinaryPrecisionRecallCurve
    Update the global metric state and compute the metric for a batch.
    
 
    
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
    
 
@@ -297,7 +297,7 @@ 
    cyclops.evaluate.metrics.precision_recall_curve.BinaryPrecisionRecallCurve
    Multiply two metrics or a metric and a scalar together.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -320,7 +320,7 @@ 
    cyclops.evaluate.metrics.precision_recall_curve.BinaryPrecisionRecallCurve
 
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -331,7 +331,7 @@ 
    cyclops.evaluate.metrics.precision_recall_curve.BinaryPrecisionRecallCurve
    Return a copy of the metric.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -342,7 +342,7 @@ 
    cyclops.evaluate.metrics.precision_recall_curve.BinaryPrecisionRecallCurve
    Compute the precision-recall curve from the state.
    
 
    
 
    Return type:
    
-
    Tuple[ndarray[Any, dtype[float64]], ndarray[Any, dtype[float64]], ndarray[Any, dtype[float64]]]
    
+
    Tuple[ndarray[Any, dtype[float64]], ndarray[Any, dtype[float64]], ndarray[Any, dtype[float64]]]
    
 
    
 
    
 
@@ -355,7 +355,7 @@ 
    cyclops.evaluate.metrics.precision_recall_curve.BinaryPrecisionRecallCurve
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
@@ -368,7 +368,7 @@ 
    cyclops.evaluate.metrics.precision_recall_curve.BinaryPrecisionRecallCurveNone) or a confusion matrix.
    
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall_curve.MulticlassPrecisionRecallCurve.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall_curve.MulticlassPrecisionRecallCurve.html
index 9e731b102..a62af353d 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall_curve.MulticlassPrecisionRecallCurve.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall_curve.MulticlassPrecisionRecallCurve.html
@@ -283,7 +283,7 @@ 
    cyclops.evaluate.metrics.precision_recall_curve.MulticlassPrecisionRecallCur
 
    Add two metrics or a metric and a scalar together.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
    
@@ -294,7 +294,7 @@ 
    cyclops.evaluate.metrics.precision_recall_curve.MulticlassPrecisionRecallCur
 
    Update the global metric state and compute the metric for a batch.
    
 
    
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
    
 
    
@@ -311,7 +311,7 @@ 
    cyclops.evaluate.metrics.precision_recall_curve.MulticlassPrecisionRecallCur
 
    Multiply two metrics or a metric and a scalar together.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
    
@@ -334,7 +334,7 @@ 
    cyclops.evaluate.metrics.precision_recall_curve.MulticlassPrecisionRecallCur
 
 
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -345,7 +345,7 @@ 
    cyclops.evaluate.metrics.precision_recall_curve.MulticlassPrecisionRecallCur
 
    Return a copy of the metric.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
    
@@ -356,7 +356,7 @@ 
    cyclops.evaluate.metrics.precision_recall_curve.MulticlassPrecisionRecallCur
 
    Compute the precision-recall curve from the state.
    
 
    
 
    Return type:
    
-
    Union[Tuple[ndarray[Any, dtype[float64]], ndarray[Any, dtype[float64]], ndarray[Any, dtype[float64]]], Tuple[List[ndarray[Any, dtype[float64]]], List[ndarray[Any, dtype[float64]]], List[ndarray[Any, dtype[float64]]]]]
    
+
    Union[Tuple[ndarray[Any, dtype[float64]], ndarray[Any, dtype[float64]], ndarray[Any, dtype[float64]]], Tuple[List[ndarray[Any, dtype[float64]]], List[ndarray[Any, dtype[float64]]], List[ndarray[Any, dtype[float64]]]]]
    
 
    
 
    
 
    
@@ -369,7 +369,7 @@ 
    cyclops.evaluate.metrics.precision_recall_curve.MulticlassPrecisionRecallCur
 None. Also resets the state variables to their default values.
    
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
@@ -382,7 +382,7 @@ 
    cyclops.evaluate.metrics.precision_recall_curve.MulticlassPrecisionRecallCur
 None) or a confusion matrix.
    
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall_curve.MultilabelPrecisionRecallCurve.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall_curve.MultilabelPrecisionRecallCurve.html
index 6e838a0ae..83a7388c3 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall_curve.MultilabelPrecisionRecallCurve.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall_curve.MultilabelPrecisionRecallCurve.html
@@ -275,7 +275,7 @@ 
    cyclops.evaluate.metrics.precision_recall_curve.MultilabelPrecisionRecallCur
 
    Add two metrics or a metric and a scalar together.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
    
@@ -286,7 +286,7 @@ 
    cyclops.evaluate.metrics.precision_recall_curve.MultilabelPrecisionRecallCur
 
    Update the global metric state and compute the metric for a batch.
    
 
    
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
    
 
    
@@ -303,7 +303,7 @@ 
    cyclops.evaluate.metrics.precision_recall_curve.MultilabelPrecisionRecallCur
 
    Multiply two metrics or a metric and a scalar together.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
    
@@ -326,7 +326,7 @@ 
    cyclops.evaluate.metrics.precision_recall_curve.MultilabelPrecisionRecallCur
 
 
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -337,7 +337,7 @@ 
    cyclops.evaluate.metrics.precision_recall_curve.MultilabelPrecisionRecallCur
 
    Return a copy of the metric.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
    
@@ -348,7 +348,7 @@ 
    cyclops.evaluate.metrics.precision_recall_curve.MultilabelPrecisionRecallCur
 
    Compute the precision-recall curve from the state.
    
 
    
 
    Return type:
    
-
    Union[Tuple[ndarray[Any, dtype[float64]], ndarray[Any, dtype[float64]], ndarray[Any, dtype[float64]]], Tuple[List[ndarray[Any, dtype[float64]]], List[ndarray[Any, dtype[float64]]], List[ndarray[Any, dtype[float64]]]]]
    
+
    Union[Tuple[ndarray[Any, dtype[float64]], ndarray[Any, dtype[float64]], ndarray[Any, dtype[float64]]], Tuple[List[ndarray[Any, dtype[float64]]], List[ndarray[Any, dtype[float64]]], List[ndarray[Any, dtype[float64]]]]]
    
 
    
 
    
 
    
@@ -361,7 +361,7 @@ 
    cyclops.evaluate.metrics.precision_recall_curve.MultilabelPrecisionRecallCur
 None. Also resets the state variables to their default values.
    
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
@@ -374,7 +374,7 @@ 
    cyclops.evaluate.metrics.precision_recall_curve.MultilabelPrecisionRecallCur
 None) or a confusion matrix.
    
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall_curve.PrecisionRecallCurve.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall_curve.PrecisionRecallCurve.html
index 31c03bd85..dfb29a4c3 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall_curve.PrecisionRecallCurve.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.precision_recall_curve.PrecisionRecallCurve.html
@@ -336,7 +336,7 @@ 
    cyclops.evaluate.metrics.precision_recall_curve.PrecisionRecallCurve
    Add two metrics or a metric and a scalar together.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -347,7 +347,7 @@ 
    cyclops.evaluate.metrics.precision_recall_curve.PrecisionRecallCurve
    Update the global metric state and compute the metric for a batch.
    
 
    
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
    
 
@@ -364,7 +364,7 @@ 
    cyclops.evaluate.metrics.precision_recall_curve.PrecisionRecallCurve
    Multiply two metrics or a metric and a scalar together.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -387,7 +387,7 @@ 
    cyclops.evaluate.metrics.precision_recall_curve.PrecisionRecallCurve
 
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -398,7 +398,7 @@ 
    cyclops.evaluate.metrics.precision_recall_curve.PrecisionRecallCurve
    Return a copy of the metric.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -409,7 +409,7 @@ 
    cyclops.evaluate.metrics.precision_recall_curve.PrecisionRecallCurve
    Compute the final value of the metric from the state variables.
    
 
    
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
    
 
@@ -422,7 +422,7 @@ 
    cyclops.evaluate.metrics.precision_recall_curve.PrecisionRecallCurve
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
@@ -433,7 +433,7 @@ 
    cyclops.evaluate.metrics.precision_recall_curve.PrecisionRecallCurve
    Update the state of the metric.
    
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.roc.BinaryROCCurve.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.roc.BinaryROCCurve.html
index 2582de050..add5a50e0 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.roc.BinaryROCCurve.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.roc.BinaryROCCurve.html
@@ -271,7 +271,7 @@ 
    cyclops.evaluate.metrics.roc.BinaryROCCurve
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -282,7 +282,7 @@ 
    cyclops.evaluate.metrics.roc.BinaryROCCurve
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -299,7 +299,7 @@ 
    cyclops.evaluate.metrics.roc.BinaryROCCurve
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -322,7 +322,7 @@ 
    cyclops.evaluate.metrics.roc.BinaryROCCurveReturn type:
-
    None
    
+
    None
    
 
    
 
 
@@ -333,7 +333,7 @@ 
    cyclops.evaluate.metrics.roc.BinaryROCCurve
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -344,7 +344,7 @@ 
    cyclops.evaluate.metrics.roc.BinaryROCCurve
 
    Return type:
    
-
    Tuple[ndarray[Any, dtype[float64]], ndarray[Any, dtype[float64]], ndarray[Any, dtype[float64]]]
    
+
    Tuple[ndarray[Any, dtype[float64]], ndarray[Any, dtype[float64]], ndarray[Any, dtype[float64]]]
    
 
    
 
 
@@ -357,7 +357,7 @@ 
    cyclops.evaluate.metrics.roc.BinaryROCCurve
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -370,7 +370,7 @@ 
    cyclops.evaluate.metrics.roc.BinaryROCCurveNone) or a confusion matrix.
    
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.roc.MulticlassROCCurve.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.roc.MulticlassROCCurve.html
index db6337ca1..ab926422f 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.roc.MulticlassROCCurve.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.roc.MulticlassROCCurve.html
@@ -287,7 +287,7 @@ 
    cyclops.evaluate.metrics.roc.MulticlassROCCurve
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -298,7 +298,7 @@ 
    cyclops.evaluate.metrics.roc.MulticlassROCCurve
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -315,7 +315,7 @@ 
    cyclops.evaluate.metrics.roc.MulticlassROCCurve
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -338,7 +338,7 @@ 
    cyclops.evaluate.metrics.roc.MulticlassROCCurveReturn type:
-
    None
    
+
    None
    
 
    
 
 
@@ -349,7 +349,7 @@ 
    cyclops.evaluate.metrics.roc.MulticlassROCCurve
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -360,7 +360,7 @@ 
    cyclops.evaluate.metrics.roc.MulticlassROCCurve
 
    Return type:
    
-
    Union[Tuple[ndarray[Any, dtype[float64]], ndarray[Any, dtype[float64]], ndarray[Any, dtype[float64]]], Tuple[List[ndarray[Any, dtype[float64]]], List[ndarray[Any, dtype[float64]]], List[ndarray[Any, dtype[float64]]]]]
    
+
    Union[Tuple[ndarray[Any, dtype[float64]], ndarray[Any, dtype[float64]], ndarray[Any, dtype[float64]]], Tuple[List[ndarray[Any, dtype[float64]]], List[ndarray[Any, dtype[float64]]], List[ndarray[Any, dtype[float64]]]]]
    
 
    
 
 
@@ -373,7 +373,7 @@ 
    cyclops.evaluate.metrics.roc.MulticlassROCCurve
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -386,7 +386,7 @@ 
    cyclops.evaluate.metrics.roc.MulticlassROCCurveNone) or a confusion matrix.
    
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.roc.MultilabelROCCurve.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.roc.MultilabelROCCurve.html
index e142e0d6e..3b77ac213 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.roc.MultilabelROCCurve.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.roc.MultilabelROCCurve.html
@@ -280,7 +280,7 @@ 
    cyclops.evaluate.metrics.roc.MultilabelROCCurve
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -291,7 +291,7 @@ 
    cyclops.evaluate.metrics.roc.MultilabelROCCurve
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -308,7 +308,7 @@ 
    cyclops.evaluate.metrics.roc.MultilabelROCCurve
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -331,7 +331,7 @@ 
    cyclops.evaluate.metrics.roc.MultilabelROCCurveReturn type:
-
    None
    
+
    None
    
 
    
 
 
@@ -342,7 +342,7 @@ 
    cyclops.evaluate.metrics.roc.MultilabelROCCurve
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -353,7 +353,7 @@ 
    cyclops.evaluate.metrics.roc.MultilabelROCCurve
 
    Return type:
    
-
    Union[Tuple[ndarray[Any, dtype[float64]], ndarray[Any, dtype[float64]], ndarray[Any, dtype[float64]]], Tuple[List[ndarray[Any, dtype[float64]]], List[ndarray[Any, dtype[float64]]], List[ndarray[Any, dtype[float64]]]]]
    
+
    Union[Tuple[ndarray[Any, dtype[float64]], ndarray[Any, dtype[float64]], ndarray[Any, dtype[float64]]], Tuple[List[ndarray[Any, dtype[float64]]], List[ndarray[Any, dtype[float64]]], List[ndarray[Any, dtype[float64]]]]]
    
 
    
 
 
@@ -366,7 +366,7 @@ 
    cyclops.evaluate.metrics.roc.MultilabelROCCurve
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -379,7 +379,7 @@ 
    cyclops.evaluate.metrics.roc.MultilabelROCCurveNone) or a confusion matrix.
    
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.roc.ROCCurve.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.roc.ROCCurve.html
index 356ac235b..d4071a7b5 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.roc.ROCCurve.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.roc.ROCCurve.html
@@ -352,7 +352,7 @@ 
    cyclops.evaluate.metrics.roc.ROCCurve
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -363,7 +363,7 @@ 
    cyclops.evaluate.metrics.roc.ROCCurve
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -380,7 +380,7 @@ 
    cyclops.evaluate.metrics.roc.ROCCurve
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -403,7 +403,7 @@ 
    cyclops.evaluate.metrics.roc.ROCCurveReturn type:
-
    None
    
+
    None
    
 
    
 
 
@@ -414,7 +414,7 @@ 
    cyclops.evaluate.metrics.roc.ROCCurve
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -425,7 +425,7 @@ 
    cyclops.evaluate.metrics.roc.ROCCurve
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -438,7 +438,7 @@ 
    cyclops.evaluate.metrics.roc.ROCCurve
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -449,7 +449,7 @@ 
    cyclops.evaluate.metrics.roc.ROCCurve
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.sensitivity.BinarySensitivity.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.sensitivity.BinarySensitivity.html
index b69209a1b..d04482f99 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.sensitivity.BinarySensitivity.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.sensitivity.BinarySensitivity.html
@@ -265,7 +265,7 @@ 
    cyclops.evaluate.metrics.sensitivity.BinarySensitivity
    Add two metrics or a metric and a scalar together.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -276,7 +276,7 @@ 
    cyclops.evaluate.metrics.sensitivity.BinarySensitivity
    Update the global metric state and compute the metric for a batch.
    
 
    
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
    
 
@@ -293,7 +293,7 @@ 
    cyclops.evaluate.metrics.sensitivity.BinarySensitivity
    Multiply two metrics or a metric and a scalar together.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -316,7 +316,7 @@ 
    cyclops.evaluate.metrics.sensitivity.BinarySensitivity
 
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -327,7 +327,7 @@ 
    cyclops.evaluate.metrics.sensitivity.BinarySensitivity
    Return a copy of the metric.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -338,7 +338,7 @@ 
    cyclops.evaluate.metrics.sensitivity.BinarySensitivity
    Compute the recall score from the state.
    
 
    
 
    Return type:
    
-
    float
    
+
    float
    
 
    
 
    
 
@@ -351,7 +351,7 @@ 
    cyclops.evaluate.metrics.sensitivity.BinarySensitivity
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
@@ -362,7 +362,7 @@ 
    cyclops.evaluate.metrics.sensitivity.BinarySensitivity
    Update the state variables.
    
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.sensitivity.MulticlassSensitivity.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.sensitivity.MulticlassSensitivity.html
index 4001931ee..0c097df26 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.sensitivity.MulticlassSensitivity.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.sensitivity.MulticlassSensitivity.html
@@ -298,7 +298,7 @@ 
    cyclops.evaluate.metrics.sensitivity.MulticlassSensitivity
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -309,7 +309,7 @@ 
    cyclops.evaluate.metrics.sensitivity.MulticlassSensitivity
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -326,7 +326,7 @@ 
    cyclops.evaluate.metrics.sensitivity.MulticlassSensitivity
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -349,7 +349,7 @@ 
    cyclops.evaluate.metrics.sensitivity.MulticlassSensitivityReturn type:
-
    None
    
+
    None
    
 
    
 
 
@@ -360,7 +360,7 @@ 
    cyclops.evaluate.metrics.sensitivity.MulticlassSensitivity
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -371,7 +371,7 @@ 
    cyclops.evaluate.metrics.sensitivity.MulticlassSensitivity
 
    Return type:
    
-
    Union[ndarray[Any, dtype[float64]], float]
    
+
    Union[ndarray[Any, dtype[float64]], float]
    
 
    
 
 
@@ -384,7 +384,7 @@ 
    cyclops.evaluate.metrics.sensitivity.MulticlassSensitivity
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -395,7 +395,7 @@ 
    cyclops.evaluate.metrics.sensitivity.MulticlassSensitivity
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.sensitivity.MultilabelSensitivity.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.sensitivity.MultilabelSensitivity.html
index 9bebf7178..7b3b2c994 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.sensitivity.MultilabelSensitivity.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.sensitivity.MultilabelSensitivity.html
@@ -288,7 +288,7 @@ 
    cyclops.evaluate.metrics.sensitivity.MultilabelSensitivity
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -299,7 +299,7 @@ 
    cyclops.evaluate.metrics.sensitivity.MultilabelSensitivity
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -316,7 +316,7 @@ 
    cyclops.evaluate.metrics.sensitivity.MultilabelSensitivity
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -339,7 +339,7 @@ 
    cyclops.evaluate.metrics.sensitivity.MultilabelSensitivityReturn type:
-
    None
    
+
    None
    
 
    
 
 
@@ -350,7 +350,7 @@ 
    cyclops.evaluate.metrics.sensitivity.MultilabelSensitivity
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -361,7 +361,7 @@ 
    cyclops.evaluate.metrics.sensitivity.MultilabelSensitivity
 
    Return type:
    
-
    Union[ndarray[Any, dtype[float64]], float]
    
+
    Union[ndarray[Any, dtype[float64]], float]
    
 
    
 
 
@@ -374,7 +374,7 @@ 
    cyclops.evaluate.metrics.sensitivity.MultilabelSensitivity
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -385,7 +385,7 @@ 
    cyclops.evaluate.metrics.sensitivity.MultilabelSensitivity
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.sensitivity.Sensitivity.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.sensitivity.Sensitivity.html
index 7ba4a18b3..781250968 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.sensitivity.Sensitivity.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.sensitivity.Sensitivity.html
@@ -342,7 +342,7 @@ 
    cyclops.evaluate.metrics.sensitivity.Sensitivity
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -353,7 +353,7 @@ 
    cyclops.evaluate.metrics.sensitivity.Sensitivity
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -370,7 +370,7 @@ 
    cyclops.evaluate.metrics.sensitivity.Sensitivity
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -393,7 +393,7 @@ 
    cyclops.evaluate.metrics.sensitivity.SensitivityReturn type:
-
    None
    
+
    None
    
 
    
 
 
@@ -404,7 +404,7 @@ 
    cyclops.evaluate.metrics.sensitivity.Sensitivity
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -415,7 +415,7 @@ 
    cyclops.evaluate.metrics.sensitivity.Sensitivity
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -428,7 +428,7 @@ 
    cyclops.evaluate.metrics.sensitivity.Sensitivity
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -439,7 +439,7 @@ 
    cyclops.evaluate.metrics.sensitivity.Sensitivity
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.specificity.BinarySpecificity.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.specificity.BinarySpecificity.html
index b2a3f5fc9..bc2f491e6 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.specificity.BinarySpecificity.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.specificity.BinarySpecificity.html
@@ -267,7 +267,7 @@ 
    cyclops.evaluate.metrics.specificity.BinarySpecificity
    Add two metrics or a metric and a scalar together.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -278,7 +278,7 @@ 
    cyclops.evaluate.metrics.specificity.BinarySpecificity
    Update the global metric state and compute the metric for a batch.
    
 
    
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
    
 
@@ -295,7 +295,7 @@ 
    cyclops.evaluate.metrics.specificity.BinarySpecificity
    Multiply two metrics or a metric and a scalar together.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -318,7 +318,7 @@ 
    cyclops.evaluate.metrics.specificity.BinarySpecificity
 
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -329,7 +329,7 @@ 
    cyclops.evaluate.metrics.specificity.BinarySpecificity
    Return a copy of the metric.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -340,7 +340,7 @@ 
    cyclops.evaluate.metrics.specificity.BinarySpecificity
    Compute the specificity score from the state.
    
 
    
 
    Return type:
    
-
    float
    
+
    float
    
 
    
 
    
 
@@ -353,7 +353,7 @@ 
    cyclops.evaluate.metrics.specificity.BinarySpecificity
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
@@ -364,7 +364,7 @@ 
    cyclops.evaluate.metrics.specificity.BinarySpecificity
    Update the state variables.
    
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.specificity.MulticlassSpecificity.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.specificity.MulticlassSpecificity.html
index 6282ccce4..3f0ae5e4a 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.specificity.MulticlassSpecificity.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.specificity.MulticlassSpecificity.html
@@ -285,7 +285,7 @@ 
    cyclops.evaluate.metrics.specificity.MulticlassSpecificity
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -296,7 +296,7 @@ 
    cyclops.evaluate.metrics.specificity.MulticlassSpecificity
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -313,7 +313,7 @@ 
    cyclops.evaluate.metrics.specificity.MulticlassSpecificity
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -336,7 +336,7 @@ 
    cyclops.evaluate.metrics.specificity.MulticlassSpecificityReturn type:
-
    None
    
+
    None
    
 
    
 
 
@@ -347,7 +347,7 @@ 
    cyclops.evaluate.metrics.specificity.MulticlassSpecificity
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -358,7 +358,7 @@ 
    cyclops.evaluate.metrics.specificity.MulticlassSpecificity
 
    Return type:
    
-
    Union[float, ndarray[Any, dtype[float64]]]
    
+
    Union[float, ndarray[Any, dtype[float64]]]
    
 
    
 
 
@@ -371,7 +371,7 @@ 
    cyclops.evaluate.metrics.specificity.MulticlassSpecificity
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -382,7 +382,7 @@ 
    cyclops.evaluate.metrics.specificity.MulticlassSpecificity
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.specificity.MultilabelSpecificity.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.specificity.MultilabelSpecificity.html
index b3a24ea38..d54056b68 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.specificity.MultilabelSpecificity.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.specificity.MultilabelSpecificity.html
@@ -289,7 +289,7 @@ 
    cyclops.evaluate.metrics.specificity.MultilabelSpecificity
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -300,7 +300,7 @@ 
    cyclops.evaluate.metrics.specificity.MultilabelSpecificity
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -317,7 +317,7 @@ 
    cyclops.evaluate.metrics.specificity.MultilabelSpecificity
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -340,7 +340,7 @@ 
    cyclops.evaluate.metrics.specificity.MultilabelSpecificityReturn type:
-
    None
    
+
    None
    
 
    
 
 
@@ -351,7 +351,7 @@ 
    cyclops.evaluate.metrics.specificity.MultilabelSpecificity
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -362,7 +362,7 @@ 
    cyclops.evaluate.metrics.specificity.MultilabelSpecificity
 
    Return type:
    
-
    Union[float, ndarray[Any, dtype[float64]]]
    
+
    Union[float, ndarray[Any, dtype[float64]]]
    
 
    
 
 
@@ -375,7 +375,7 @@ 
    cyclops.evaluate.metrics.specificity.MultilabelSpecificity
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -386,7 +386,7 @@ 
    cyclops.evaluate.metrics.specificity.MultilabelSpecificity
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.specificity.Specificity.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.specificity.Specificity.html
index ab1b504cb..4ebfabde7 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.specificity.Specificity.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.specificity.Specificity.html
@@ -331,7 +331,7 @@ 
    cyclops.evaluate.metrics.specificity.Specificity
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -342,7 +342,7 @@ 
    cyclops.evaluate.metrics.specificity.Specificity
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -359,7 +359,7 @@ 
    cyclops.evaluate.metrics.specificity.Specificity
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -382,7 +382,7 @@ 
    cyclops.evaluate.metrics.specificity.SpecificityReturn type:
-
    None
    
+
    None
    
 
    
 
 
@@ -393,7 +393,7 @@ 
    cyclops.evaluate.metrics.specificity.Specificity
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -404,7 +404,7 @@ 
    cyclops.evaluate.metrics.specificity.Specificity
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -417,7 +417,7 @@ 
    cyclops.evaluate.metrics.specificity.Specificity
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -428,7 +428,7 @@ 
    cyclops.evaluate.metrics.specificity.Specificity
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.stat_scores.BinaryStatScores.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.stat_scores.BinaryStatScores.html
index ec3a1c9e4..2960ae67a 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.stat_scores.BinaryStatScores.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.stat_scores.BinaryStatScores.html
@@ -265,7 +265,7 @@ 
    cyclops.evaluate.metrics.stat_scores.BinaryStatScores
    Add two metrics or a metric and a scalar together.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -276,7 +276,7 @@ 
    cyclops.evaluate.metrics.stat_scores.BinaryStatScores
    Update the global metric state and compute the metric for a batch.
    
 
    
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
    
 
@@ -293,7 +293,7 @@ 
    cyclops.evaluate.metrics.stat_scores.BinaryStatScores
    Multiply two metrics or a metric and a scalar together.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -316,7 +316,7 @@ 
    cyclops.evaluate.metrics.stat_scores.BinaryStatScores
 
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -327,7 +327,7 @@ 
    cyclops.evaluate.metrics.stat_scores.BinaryStatScores
    Return a copy of the metric.
    
 
    
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
    
 
@@ -356,7 +356,7 @@ 
    cyclops.evaluate.metrics.stat_scores.BinaryStatScores
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
@@ -367,7 +367,7 @@ 
    cyclops.evaluate.metrics.stat_scores.BinaryStatScores
    Update the state variables.
    
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
    
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.stat_scores.MulticlassStatScores.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.stat_scores.MulticlassStatScores.html
index 8ef50fc2d..468304f57 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.stat_scores.MulticlassStatScores.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.stat_scores.MulticlassStatScores.html
@@ -286,7 +286,7 @@ 
    cyclops.evaluate.metrics.stat_scores.MulticlassStatScores
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -297,7 +297,7 @@ 
    cyclops.evaluate.metrics.stat_scores.MulticlassStatScores
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -314,7 +314,7 @@ 
    cyclops.evaluate.metrics.stat_scores.MulticlassStatScores
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -337,7 +337,7 @@ 
    cyclops.evaluate.metrics.stat_scores.MulticlassStatScoresReturn type:
-
    None
    
+
    None
    
 
    
 
 
@@ -348,7 +348,7 @@ 
    cyclops.evaluate.metrics.stat_scores.MulticlassStatScores
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -378,7 +378,7 @@ 
    cyclops.evaluate.metrics.stat_scores.MulticlassStatScores
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -389,7 +389,7 @@ 
    cyclops.evaluate.metrics.stat_scores.MulticlassStatScores
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.stat_scores.MultilabelStatScores.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.stat_scores.MultilabelStatScores.html
index 8d9d9fd9d..5fdbb03c6 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.stat_scores.MultilabelStatScores.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.stat_scores.MultilabelStatScores.html
@@ -272,7 +272,7 @@ 
    cyclops.evaluate.metrics.stat_scores.MultilabelStatScores
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -283,7 +283,7 @@ 
    cyclops.evaluate.metrics.stat_scores.MultilabelStatScores
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -300,7 +300,7 @@ 
    cyclops.evaluate.metrics.stat_scores.MultilabelStatScores
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -323,7 +323,7 @@ 
    cyclops.evaluate.metrics.stat_scores.MultilabelStatScoresReturn type:
-
    None
    
+
    None
    
 
    
 
 
@@ -334,7 +334,7 @@ 
    cyclops.evaluate.metrics.stat_scores.MultilabelStatScores
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -364,7 +364,7 @@ 
    cyclops.evaluate.metrics.stat_scores.MultilabelStatScores
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -375,7 +375,7 @@ 
    cyclops.evaluate.metrics.stat_scores.MultilabelStatScores
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
diff --git a/api/reference/api/_autosummary/cyclops.evaluate.metrics.stat_scores.StatScores.html b/api/reference/api/_autosummary/cyclops.evaluate.metrics.stat_scores.StatScores.html
index 6da654c9a..de0af2940 100644
--- a/api/reference/api/_autosummary/cyclops.evaluate.metrics.stat_scores.StatScores.html
+++ b/api/reference/api/_autosummary/cyclops.evaluate.metrics.stat_scores.StatScores.html
@@ -333,7 +333,7 @@ 
    cyclops.evaluate.metrics.stat_scores.StatScores
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -344,7 +344,7 @@ 
    cyclops.evaluate.metrics.stat_scores.StatScores
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -361,7 +361,7 @@ 
    cyclops.evaluate.metrics.stat_scores.StatScores
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -384,7 +384,7 @@ 
    cyclops.evaluate.metrics.stat_scores.StatScoresReturn type:
-
    None
    
+
    None
    
 
    
 
 
@@ -395,7 +395,7 @@ 
    cyclops.evaluate.metrics.stat_scores.StatScores
 
    Return type:
    
-
    Metric
    
+
    Metric
    
 
    
 
 
@@ -406,7 +406,7 @@ 
    cyclops.evaluate.metrics.stat_scores.StatScores
 
    Return type:
    
-
    Any
    
+
    Any
    
 
    
 
 
@@ -427,7 +427,7 @@ 
    cyclops.evaluate.metrics.stat_scores.StatScores
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -438,7 +438,7 @@ 
    cyclops.evaluate.metrics.stat_scores.StatScores
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
diff --git a/api/reference/api/_autosummary/cyclops.monitor.clinical_applicator.ClinicalShiftApplicator.html b/api/reference/api/_autosummary/cyclops.monitor.clinical_applicator.ClinicalShiftApplicator.html
index 7b13b8706..fc3ecfede 100644
--- a/api/reference/api/_autosummary/cyclops.monitor.clinical_applicator.ClinicalShiftApplicator.html
+++ b/api/reference/api/_autosummary/cyclops.monitor.clinical_applicator.ClinicalShiftApplicator.html
@@ -263,7 +263,7 @@ 
    cyclops.monitor.clinical_applicator.ClinicalShiftApplicatorReturn type:
-
    Tuple[Dataset, Dataset]
    
+
    Tuple[Dataset, Dataset]
    
 
    
 
    Returns:
    
 
      
@@ -281,7 +281,7 @@ 
      cyclops.monitor.clinical_applicator.ClinicalShiftApplicator
 
      Return type:
      
-
      Tuple[Dataset, Dataset]
      
+
      Tuple[Dataset, Dataset]
      
 
      
 
      Returns:
      
 
        
@@ -311,7 +311,7 @@ 
        cyclops.monitor.clinical_applicator.ClinicalShiftApplicatorReturn type:
-
        Tuple[Dataset, Dataset]
        
+
        Tuple[Dataset, Dataset]
        
 
        
 
        Returns:
        
 
          
@@ -341,7 +341,7 @@ 
          cyclops.monitor.clinical_applicator.ClinicalShiftApplicatorReturn type:
-
          Tuple[Dataset, Dataset]
          
+
          Tuple[Dataset, Dataset]
          
 
          
 
          Returns:
          
 
            
@@ -371,7 +371,7 @@ 
            cyclops.monitor.clinical_applicator.ClinicalShiftApplicatorReturn type:
-
            Tuple[Dataset, Dataset]
            
+
            Tuple[Dataset, Dataset]
            
 
            
 
            Returns:
            
 
              
@@ -401,7 +401,7 @@ 
              cyclops.monitor.clinical_applicator.ClinicalShiftApplicatorReturn type:
-
              Tuple[Dataset, Dataset]
              
+
              Tuple[Dataset, Dataset]
              
 
              
 
              Returns:
              
 
                
@@ -431,7 +431,7 @@ 
                cyclops.monitor.clinical_applicator.ClinicalShiftApplicatorReturn type:
-
                Tuple[Dataset, Dataset]
                
+
                Tuple[Dataset, Dataset]
                
 
                
 
                Returns:
                
 
                  
diff --git a/api/reference/api/_autosummary/cyclops.monitor.synthetic_applicator.binary_noise_shift.html b/api/reference/api/_autosummary/cyclops.monitor.synthetic_applicator.binary_noise_shift.html
index 85f104b96..670861455 100644
--- a/api/reference/api/_autosummary/cyclops.monitor.synthetic_applicator.binary_noise_shift.html
+++ b/api/reference/api/_autosummary/cyclops.monitor.synthetic_applicator.binary_noise_shift.html
@@ -205,7 +205,7 @@ 
                  cyclops.monitor.synthetic_applicator.binary_noise_shift
 
                
 
                Return type:
                
-
                ndarray[float, dtype[float64]]
                
+
                ndarray[float, dtype[float64]]
                
 
                
 
                Returns:
                
 
                  
diff --git a/api/reference/api/_autosummary/cyclops.monitor.synthetic_applicator.feature_association_shift.html b/api/reference/api/_autosummary/cyclops.monitor.synthetic_applicator.feature_association_shift.html
index 2757d4cca..5a8556308 100644
--- a/api/reference/api/_autosummary/cyclops.monitor.synthetic_applicator.feature_association_shift.html
+++ b/api/reference/api/_autosummary/cyclops.monitor.synthetic_applicator.feature_association_shift.html
@@ -203,12 +203,12 @@ 
                  cyclops.monitor.synthetic_applicator.feature_association_shiftlist) – target label
                  
 
                • cl (int) – class (e.g. 0,1,2,3, etc.)
                  • 
 
                • n_shuffle (floatnumpy.matrix) – number of individuals to shuffle
                  • 
-
                • keep_rows_constant (bool) – are the permutations the same across features?
                  • 
-
                • repermute_each_column (bool) – are the individuals selected for permutation the same across features?
                  • 
+
                • keep_rows_constant (bool) – are the permutations the same across features?
                  • 
+
                • repermute_each_column (bool) – are the individuals selected for permutation the same across features?
                  • 
 
                
 
                
 
                Return type:
                
-
                ndarray[float, dtype[float64]]
                
+
                ndarray[float, dtype[float64]]
                
 
                
 
                Returns:
                
 
                  
diff --git a/api/reference/api/_autosummary/cyclops.monitor.synthetic_applicator.feature_swap_shift.html b/api/reference/api/_autosummary/cyclops.monitor.synthetic_applicator.feature_swap_shift.html
index b4748829f..00b5678a7 100644
--- a/api/reference/api/_autosummary/cyclops.monitor.synthetic_applicator.feature_swap_shift.html
+++ b/api/reference/api/_autosummary/cyclops.monitor.synthetic_applicator.feature_swap_shift.html
@@ -209,7 +209,7 @@ 
                  cyclops.monitor.synthetic_applicator.feature_swap_shift
 
                
 
                Return type:
                
-
                ndarray[float, dtype[float64]]
                
+
                ndarray[float, dtype[float64]]
                
 
                
 
                Returns:
                
 
                  
diff --git a/api/reference/api/_autosummary/cyclops.monitor.synthetic_applicator.gaussian_noise_shift.html b/api/reference/api/_autosummary/cyclops.monitor.synthetic_applicator.gaussian_noise_shift.html
index 78ec3875d..eeae3cddc 100644
--- a/api/reference/api/_autosummary/cyclops.monitor.synthetic_applicator.gaussian_noise_shift.html
+++ b/api/reference/api/_autosummary/cyclops.monitor.synthetic_applicator.gaussian_noise_shift.html
@@ -206,7 +206,7 @@ 
                  cyclops.monitor.synthetic_applicator.gaussian_noise_shiftReturn type:
-
                  ndarray[float, dtype[float64]]
                  
+
                  ndarray[float, dtype[float64]]
                  
 
                  
 
                  Returns:
                  
 
                    
diff --git a/api/reference/api/_autosummary/cyclops.monitor.synthetic_applicator.knockout_shift.html b/api/reference/api/_autosummary/cyclops.monitor.synthetic_applicator.knockout_shift.html
index ba8fbb25f..0cc1214b3 100644
--- a/api/reference/api/_autosummary/cyclops.monitor.synthetic_applicator.knockout_shift.html
+++ b/api/reference/api/_autosummary/cyclops.monitor.synthetic_applicator.knockout_shift.html
@@ -206,7 +206,7 @@ 
                    cyclops.monitor.synthetic_applicator.knockout_shift
 
                  
 
                  Return type:
                  
-
                  ndarray[float, dtype[float64]]
                  
+
                  ndarray[float, dtype[float64]]
                  
 
                  
 
                  Returns:
                  
 
                    
diff --git a/api/reference/api/_autosummary/cyclops.report.report.ModelCardReport.html b/api/reference/api/_autosummary/cyclops.report.report.ModelCardReport.html
index 5be33aa1f..3283fd92f 100644
--- a/api/reference/api/_autosummary/cyclops.report.report.ModelCardReport.html
+++ b/api/reference/api/_autosummary/cyclops.report.report.ModelCardReport.html
@@ -323,14 +323,14 @@ 
                    cyclops.report.report.ModelCardReportstr, optional) – The section of the report to add the citation to. If not provided,
 the citation will be added to the model_details section, representing
 the citation for the model.
                    
-
                  • **extra (Any) – 
                    • 
+
                  • **extra (Any) – 
                    • 
 
                  
 
                  
 
                  Raises:
                  
 
                  KeyError – If the given section name is not valid.
                  
 
                  
 
                  Return type:
                  
-
                  None
                  
+
                  None
                  
 
                  
 
 
                  Notes
                  
@@ -360,14 +360,14 @@ 
                  cyclops.report.report.ModelCardReportlist of str, optional) – The names of the sensitive features used to train/evaluate the model.
                  
 
                • sensitive_feature_justification (str, optional) – A justification for the sensitive features used to train/evaluate the
 model.
                  • 
-
                • **extra (Any) – Any extra fields to add to the Dataset.
                  • 
+
                • **extra (Any) – Any extra fields to add to the Dataset.
                  • 
 
                
 
                
 
                Raises:
                
 
                AssertionError – If the sensitive features are not in the features list.
                
 
                
 
                Return type:
                
-
                None
                
+
                None
                
 
                
 
 
              
@@ -386,7 +386,7 @@ 
              cyclops.report.report.ModelCardReportstr) – The name of the descriptor.
              
 
            • description (str) – A description of the descriptor.
              • 
 
            • section_name (str) – The section of the report to add the descriptor to.
              • 
-
            • **extra (Any) – Any extra fields to add to the descriptor.
              • 
+
            • **extra (Any) – Any extra fields to add to the descriptor.
              • 
 
            
 
            
 
            Raises:
            
@@ -396,7 +396,7 @@ 
            cyclops.report.report.ModelCardReportReturn type:
-
            None
            
+
            None
            
 
            
 
 
            Examples
            
@@ -425,14 +425,14 @@ 
            cyclops.report.report.ModelCardReportstr, optional) – The section of the report to add the fairness assessment to. If not
 provided, the fairness assessment will be added to the considerations
 section.
            
-
          • **extra (Any) – Any extra information to add in relation to the fairness assessment.
            • 
+
          • **extra (Any) – Any extra information to add in relation to the fairness assessment.
            • 
 
          
 
          
 
          Raises:
          
 
          KeyError – If the given section name is not valid.
          
 
          
 
          Return type:
          
-
          None
          
+
          None
          
 
          
 
 
        
@@ -450,7 +450,7 @@ 
        cyclops.report.report.ModelCardReportReturn type:
-
        None
        
+
        None
        
 
        
 
 
      
@@ -474,7 +474,7 @@ 
      cyclops.report.report.ModelCardReportReturn type:
-
      None
      
+
      None
      
 
      
 
 
    
@@ -496,14 +496,14 @@ 
    cyclops.report.report.ModelCardReportstr, optional) – The section of the report to add the license to. If not provided,
 the license will be added to the model_details section, representing
 the license for the model as a whole.
    
-
  • **extra (Any) – Any extra fields to add to the License.
    • 
+
  • **extra (Any) – Any extra fields to add to the License.
    • 
 
 
 
    Raises:
    
 
    KeyError – If the given section name is not valid.
    
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
    Notes
    
@@ -520,7 +520,7 @@ 
    cyclops.report.report.ModelCardReport
    params (Dict[str, Any]) – A dictionary of model parameters.
    
 
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -538,14 +538,14 @@ 
    cyclops.report.report.ModelCardReportstr, optional) – The name of the section of the report to log the owner to. If not provided,
 the owner will be added to the model_details section, representing
 the model owner.
    
-
  • **extra (Any) – Any extra fields to add to the Owner.
    • 
+
  • **extra (Any) – Any extra fields to add to the Owner.
    • 
 
 
 
    Raises:
    
 
    KeyError – If the given section name is not valid.
    
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -566,7 +566,7 @@ 
    cyclops.report.report.ModelCardReport
    TypeError – If the given metrics are not a dictionary with string keys.
    
 
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -588,7 +588,7 @@ 
    cyclops.report.report.ModelCardReport
    KeyError – If the given section name is not valid.
    
 
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -613,14 +613,14 @@ 
    cyclops.report.report.ModelCardReportAny) – Any extra fields to add to the metric.
    
+
  • **extra (Any) – Any extra fields to add to the metric.
    • 
 
 
 
    Raises:
    
 
    ValueError – If the given metric type is not valid.
    
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -636,14 +636,14 @@ 
    cyclops.report.report.ModelCardReportstr, optional) – The section of the report to add the reference to. If not provided,
 the reference will be added to the model_details section, representing
 the reference for the model.
    
-
  • **extra (Any) – Any extra fields to add to the Reference.
    • 
+
  • **extra (Any) – Any extra fields to add to the Reference.
    • 
 
 
 
    Raises:
    
 
    KeyError – If the given section name is not valid.
    
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -665,7 +665,7 @@ 
    cyclops.report.report.ModelCardReport
    KeyError – If the given section name is not valid.
    
 
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -681,14 +681,14 @@ 
    cyclops.report.report.ModelCardReportstr) – A description of the mitigation strategy.
    
 
  • section_name (str, optional) – The section of the report to add the risk to. If not provided, the
 risk will be added to the considerations section.
    • 
-
  • **extra (Any) – Any extra information to add in relation to the risk.
    • 
+
  • **extra (Any) – Any extra information to add in relation to the risk.
    • 
 
 
 
    Raises:
    
 
    KeyError – If the given section name is not valid.
    
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -704,14 +704,14 @@ 
    cyclops.report.report.ModelCardReportstr, optional) – The section of the report to add the use case to. If not provided,
 the use case will be added to the considerations section.
    
-
  • **extra (Any) – Any extra fields to add to the UseCase.
    • 
+
  • **extra (Any) – Any extra fields to add to the UseCase.
    • 
 
 
 
    Raises:
    
 
    KeyError – If the given section name is not valid.
    
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -726,14 +726,14 @@ 
    cyclops.report.report.ModelCardReportstr) – A description of the user.
    
 
  • section_name (str, optional) – The section of the report to add the user to. If not provided, the user
 will be added to the considerations section.
    • 
-
  • **extra (Any) – Any extra fields to add to the User.
    • 
+
  • **extra (Any) – Any extra fields to add to the User.
    • 
 
 
 
    Raises:
    
 
    KeyError – If the given section name is not valid.
    
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
@@ -755,14 +755,14 @@ 
    cyclops.report.report.ModelCardReportstr, optional) – The section of the report to add the version to. If not provided,
 the version will be added to the model_details section, representing
 the version of the model as a whole.
    
-
  • **extra (Any) – Any extra fields to add to the Version.
    • 
+
  • **extra (Any) – Any extra fields to add to the Version.
    • 
 
 
 
    Raises:
    
 
    KeyError – If the given section name is not valid.
    
 
    
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
diff --git a/api/reference/api/_autosummary/cyclops.tasks.classification.BinaryTabularClassificationTask.html b/api/reference/api/_autosummary/cyclops.tasks.classification.BinaryTabularClassificationTask.html
index 10d775dc9..0b4b4e23d 100644
--- a/api/reference/api/_autosummary/cyclops.tasks.classification.BinaryTabularClassificationTask.html
+++ b/api/reference/api/_autosummary/cyclops.tasks.classification.BinaryTabularClassificationTask.html
@@ -196,10 +196,10 @@ 
    cyclops.tasks.classification.BinaryTabularClassificationTask
 
    Parameters:
    
 
      
-
    • models (Union[str, PTModel, SKModel, Sequence[Union[str, PTModel, SKModel]], Dict[str, Union[PTModel, SKModel]]]) – Models to use for the task. Can be a single model, a list of models, or a
+
    • models (Union[str, PTModel, SKModel, Sequence[Union[str, PTModel, SKModel]], Dict[str, Union[PTModel, SKModel]]]) – Models to use for the task. Can be a single model, a list of models, or a
 dictionary of models.
      • 
-
    • task_features (List[str]) – Features to use for the task.
      • 
-
    • task_target (Union[str, List[str]]) – Target to use for the task.
      • 
+
    • task_features (List[str]) – Features to use for the task.
      • 
+
    • task_target (Union[str, List[str]]) – Target to use for the task.
      • 
 
    
 
    
 
@@ -256,10 +256,10 @@ 
    cyclops.tasks.classification.BinaryTabularClassificationTask
 
    Parameters:
    
 
      
-
    • models (Union[str, PTModel, SKModel, Sequence[Union[str, PTModel, SKModel]], Dict[str, Union[PTModel, SKModel]]]) – Models to use for the task. Can be a single model, a list of models, or a
+
    • models (Union[str, PTModel, SKModel, Sequence[Union[str, PTModel, SKModel]], Dict[str, Union[PTModel, SKModel]]]) – Models to use for the task. Can be a single model, a list of models, or a
 dictionary of models.
      • 
-
    • task_features (List[str]) – Features to use for the task.
      • 
-
    • task_target (Union[str, List[str]]) – Target to use for the task.
      • 
+
    • task_features (List[str]) – Features to use for the task.
      • 
+
    • task_target (Union[str, List[str]]) – Target to use for the task.
      • 
 
    
 
    
 
@@ -274,7 +274,7 @@ 
    cyclops.tasks.classification.BinaryTabularClassificationTask
    model (Union[str, WrappedModel, Dict[str, WrappedModel]]) – Model to be added.
    
 
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
diff --git a/api/reference/api/_autosummary/cyclops.tasks.classification.MultilabelImageClassificationTask.html b/api/reference/api/_autosummary/cyclops.tasks.classification.MultilabelImageClassificationTask.html
index 4b9b21ed0..c0b091cca 100644
--- a/api/reference/api/_autosummary/cyclops.tasks.classification.MultilabelImageClassificationTask.html
+++ b/api/reference/api/_autosummary/cyclops.tasks.classification.MultilabelImageClassificationTask.html
@@ -196,10 +196,10 @@ 
    cyclops.tasks.classification.MultilabelImageClassificationTask
 
    Parameters:
    
 
      
-
    • models (Union[str, PTModel, SKModel, Sequence[Union[str, PTModel, SKModel]], Dict[str, Union[PTModel, SKModel]]]) – Models to use for the task. Can be a single model, a list of models, or a
+
    • models (Union[str, PTModel, SKModel, Sequence[Union[str, PTModel, SKModel]], Dict[str, Union[PTModel, SKModel]]]) – Models to use for the task. Can be a single model, a list of models, or a
 dictionary of models.
      • 
-
    • task_features (List[str]) – Features to use for the task.
      • 
-
    • task_target (Union[str, List[str]]) – Target to use for the task.
      • 
+
    • task_features (List[str]) – Features to use for the task.
      • 
+
    • task_target (Union[str, List[str]]) – Target to use for the task.
      • 
 
    
 
    
 
@@ -253,10 +253,10 @@ 
    cyclops.tasks.classification.MultilabelImageClassificationTask
 
    Parameters:
    
 
      
-
    • models (Union[str, PTModel, SKModel, Sequence[Union[str, PTModel, SKModel]], Dict[str, Union[PTModel, SKModel]]]) – Models to use for the task. Can be a single model, a list of models, or a
+
    • models (Union[str, PTModel, SKModel, Sequence[Union[str, PTModel, SKModel]], Dict[str, Union[PTModel, SKModel]]]) – Models to use for the task. Can be a single model, a list of models, or a
 dictionary of models.
      • 
-
    • task_features (List[str]) – Features to use for the task.
      • 
-
    • task_target (Union[str, List[str]]) – Target to use for the task.
      • 
+
    • task_features (List[str]) – Features to use for the task.
      • 
+
    • task_target (Union[str, List[str]]) – Target to use for the task.
      • 
 
    
 
    
 
@@ -271,7 +271,7 @@ 
    cyclops.tasks.classification.MultilabelImageClassificationTask
    model (Union[str, WrappedModel, Dict[str, WrappedModel]]) – Model to be added.
    
 
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 
diff --git a/api/searchindex.js b/api/searchindex.js
index 9f6f7b1e5..01e668d7c 100644
--- a/api/searchindex.js
+++ b/api/searchindex.js
@@ -1 +1 @@
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Generate Source/Target Dataset for Experiments (1-2)": [[133, "Example-1.-Generate-Source/Target-Dataset-for-Experiments-(1-2)"]], "Example 2. Sensitivity test experiment with 3 dimensionality reduction techniques": [[133, "Example-2.-Sensitivity-test-experiment-with-3-dimensionality-reduction-techniques"]], "Example 3. Sensitivity test experiment with models trained on different datasets": [[133, "Example-3.-Sensitivity-test-experiment-with-models-trained-on-different-datasets"]], "Example 4. Sensitivity test experiment with different clinical shifts": [[133, "Example-4.-Sensitivity-test-experiment-with-different-clinical-shifts"]], "Example 5. Rolling window experiment with synthetic timestamps using biweekly window": [[133, "Example-5.-Rolling-window-experiment-with-synthetic-timestamps-using-biweekly-window"]], "Prolonged Length of Stay Prediction": [[134, "Prolonged-Length-of-Stay-Prediction"]], "Data Querying": [[134, "Data-Querying"]], "Compute length of stay (labels)": [[134, "Compute-length-of-stay-(labels)"]], "Data Inspection and Preprocessing": [[134, "Data-Inspection-and-Preprocessing"]], "Drop NaNs based on the NAN_THRESHOLD": [[134, "Drop-NaNs-based-on-the-NAN_THRESHOLD"]], "Length of stay distribution": [[134, "Length-of-stay-distribution"]], "Gender distribution": [[134, "Gender-distribution"]], "monitor API": [[135, "monitor-api"]], "Example use cases": [[136, "example-use-cases"]], "Tabular data": [[136, "tabular-data"]], "Kaggle Heart Failure Prediction": [[136, "kaggle-heart-failure-prediction"]], "Synthea Prolonged Length of Stay Prediction": [[136, "synthea-prolonged-length-of-stay-prediction"]], "Image 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Dataset": [[133, "Import-Libraries-and-Load-NIHCXR-Dataset"]], "Example 1. Generate Source/Target Dataset for Experiments (1-2)": [[133, "Example-1.-Generate-Source/Target-Dataset-for-Experiments-(1-2)"]], "Example 2. Sensitivity test experiment with 3 dimensionality reduction techniques": [[133, "Example-2.-Sensitivity-test-experiment-with-3-dimensionality-reduction-techniques"]], "Example 3. Sensitivity test experiment with models trained on different datasets": [[133, "Example-3.-Sensitivity-test-experiment-with-models-trained-on-different-datasets"]], "Example 4. Sensitivity test experiment with different clinical shifts": [[133, "Example-4.-Sensitivity-test-experiment-with-different-clinical-shifts"]], "Example 5. Rolling window experiment with synthetic timestamps using biweekly window": [[133, "Example-5.-Rolling-window-experiment-with-synthetic-timestamps-using-biweekly-window"]], "Prolonged Length of Stay Prediction": [[134, "Prolonged-Length-of-Stay-Prediction"]], "Data Querying": [[134, "Data-Querying"]], "Compute length of stay (labels)": [[134, "Compute-length-of-stay-(labels)"]], "Data Inspection and Preprocessing": [[134, "Data-Inspection-and-Preprocessing"]], "Drop NaNs based on the NAN_THRESHOLD": [[134, "Drop-NaNs-based-on-the-NAN_THRESHOLD"]], "Length of stay distribution": [[134, "Length-of-stay-distribution"]], "Gender distribution": [[134, "Gender-distribution"]], "monitor API": [[135, "monitor-api"]], "Example use cases": [[136, "example-use-cases"]], "Tabular data": [[136, "tabular-data"]], "Kaggle Heart Failure Prediction": [[136, "kaggle-heart-failure-prediction"]], "Synthea Prolonged Length of Stay Prediction": [[136, "synthea-prolonged-length-of-stay-prediction"]], "Image 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"cyclops.evaluate.metrics.sensitivity.Sensitivity.update_state"]], "cyclops.evaluate.metrics.specificity": [[101, "module-cyclops.evaluate.metrics.specificity"]], "binaryspecificity (class in cyclops.evaluate.metrics.specificity)": [[102, "cyclops.evaluate.metrics.specificity.BinarySpecificity"]], "__add__() (binaryspecificity method)": [[102, "cyclops.evaluate.metrics.specificity.BinarySpecificity.__add__"]], "__call__() (binaryspecificity method)": [[102, "cyclops.evaluate.metrics.specificity.BinarySpecificity.__call__"]], "__init__() (binaryspecificity method)": [[102, "cyclops.evaluate.metrics.specificity.BinarySpecificity.__init__"]], "__mul__() (binaryspecificity method)": [[102, "cyclops.evaluate.metrics.specificity.BinarySpecificity.__mul__"]], "add_state() (binaryspecificity method)": [[102, "cyclops.evaluate.metrics.specificity.BinarySpecificity.add_state"]], "clone() (binaryspecificity method)": [[102, "cyclops.evaluate.metrics.specificity.BinarySpecificity.clone"]], "compute() (binaryspecificity method)": [[102, "cyclops.evaluate.metrics.specificity.BinarySpecificity.compute"]], "reset_state() (binaryspecificity method)": [[102, "cyclops.evaluate.metrics.specificity.BinarySpecificity.reset_state"]], "update_state() (binaryspecificity method)": [[102, "cyclops.evaluate.metrics.specificity.BinarySpecificity.update_state"]], "multiclassspecificity (class in cyclops.evaluate.metrics.specificity)": [[103, "cyclops.evaluate.metrics.specificity.MulticlassSpecificity"]], "__add__() (multiclassspecificity method)": [[103, "cyclops.evaluate.metrics.specificity.MulticlassSpecificity.__add__"]], "__call__() (multiclassspecificity method)": [[103, "cyclops.evaluate.metrics.specificity.MulticlassSpecificity.__call__"]], "__init__() (multiclassspecificity method)": [[103, "cyclops.evaluate.metrics.specificity.MulticlassSpecificity.__init__"]], "__mul__() (multiclassspecificity method)": [[103, "cyclops.evaluate.metrics.specificity.MulticlassSpecificity.__mul__"]], "add_state() (multiclassspecificity method)": [[103, "cyclops.evaluate.metrics.specificity.MulticlassSpecificity.add_state"]], "clone() (multiclassspecificity method)": [[103, "cyclops.evaluate.metrics.specificity.MulticlassSpecificity.clone"]], "compute() (multiclassspecificity method)": [[103, "cyclops.evaluate.metrics.specificity.MulticlassSpecificity.compute"]], "reset_state() (multiclassspecificity method)": [[103, "cyclops.evaluate.metrics.specificity.MulticlassSpecificity.reset_state"]], "update_state() (multiclassspecificity method)": [[103, "cyclops.evaluate.metrics.specificity.MulticlassSpecificity.update_state"]], "multilabelspecificity (class in cyclops.evaluate.metrics.specificity)": [[104, "cyclops.evaluate.metrics.specificity.MultilabelSpecificity"]], "__add__() (multilabelspecificity method)": [[104, "cyclops.evaluate.metrics.specificity.MultilabelSpecificity.__add__"]], "__call__() (multilabelspecificity method)": [[104, "cyclops.evaluate.metrics.specificity.MultilabelSpecificity.__call__"]], "__init__() (multilabelspecificity method)": [[104, "cyclops.evaluate.metrics.specificity.MultilabelSpecificity.__init__"]], "__mul__() (multilabelspecificity method)": [[104, "cyclops.evaluate.metrics.specificity.MultilabelSpecificity.__mul__"]], "add_state() (multilabelspecificity method)": [[104, "cyclops.evaluate.metrics.specificity.MultilabelSpecificity.add_state"]], "clone() (multilabelspecificity method)": [[104, "cyclops.evaluate.metrics.specificity.MultilabelSpecificity.clone"]], "compute() (multilabelspecificity method)": [[104, "cyclops.evaluate.metrics.specificity.MultilabelSpecificity.compute"]], "reset_state() (multilabelspecificity method)": [[104, "cyclops.evaluate.metrics.specificity.MultilabelSpecificity.reset_state"]], "update_state() (multilabelspecificity method)": [[104, "cyclops.evaluate.metrics.specificity.MultilabelSpecificity.update_state"]], "specificity (class in cyclops.evaluate.metrics.specificity)": [[105, "cyclops.evaluate.metrics.specificity.Specificity"]], "__add__() (specificity method)": [[105, "cyclops.evaluate.metrics.specificity.Specificity.__add__"]], "__call__() (specificity method)": [[105, "cyclops.evaluate.metrics.specificity.Specificity.__call__"]], "__init__() (specificity method)": [[105, "cyclops.evaluate.metrics.specificity.Specificity.__init__"]], "__mul__() (specificity method)": [[105, "cyclops.evaluate.metrics.specificity.Specificity.__mul__"]], "add_state() (specificity method)": [[105, "cyclops.evaluate.metrics.specificity.Specificity.add_state"]], "clone() (specificity method)": [[105, "cyclops.evaluate.metrics.specificity.Specificity.clone"]], "compute() (specificity method)": [[105, "cyclops.evaluate.metrics.specificity.Specificity.compute"]], "reset_state() (specificity method)": [[105, "cyclops.evaluate.metrics.specificity.Specificity.reset_state"]], "update_state() (specificity method)": [[105, "cyclops.evaluate.metrics.specificity.Specificity.update_state"]], "cyclops.evaluate.metrics.stat_scores": [[106, "module-cyclops.evaluate.metrics.stat_scores"]], "binarystatscores (class in cyclops.evaluate.metrics.stat_scores)": [[107, "cyclops.evaluate.metrics.stat_scores.BinaryStatScores"]], "__add__() (binarystatscores method)": [[107, "cyclops.evaluate.metrics.stat_scores.BinaryStatScores.__add__"]], "__call__() (binarystatscores method)": [[107, "cyclops.evaluate.metrics.stat_scores.BinaryStatScores.__call__"]], "__init__() (binarystatscores method)": [[107, "cyclops.evaluate.metrics.stat_scores.BinaryStatScores.__init__"]], "__mul__() (binarystatscores method)": [[107, "cyclops.evaluate.metrics.stat_scores.BinaryStatScores.__mul__"]], "add_state() (binarystatscores method)": [[107, "cyclops.evaluate.metrics.stat_scores.BinaryStatScores.add_state"]], "clone() (binarystatscores method)": [[107, "cyclops.evaluate.metrics.stat_scores.BinaryStatScores.clone"]], "compute() (binarystatscores method)": [[107, "cyclops.evaluate.metrics.stat_scores.BinaryStatScores.compute"]], "reset_state() (binarystatscores method)": [[107, "cyclops.evaluate.metrics.stat_scores.BinaryStatScores.reset_state"]], "update_state() (binarystatscores method)": [[107, "cyclops.evaluate.metrics.stat_scores.BinaryStatScores.update_state"]], "multiclassstatscores (class in cyclops.evaluate.metrics.stat_scores)": [[108, "cyclops.evaluate.metrics.stat_scores.MulticlassStatScores"]], "__add__() (multiclassstatscores method)": [[108, "cyclops.evaluate.metrics.stat_scores.MulticlassStatScores.__add__"]], "__call__() (multiclassstatscores method)": [[108, "cyclops.evaluate.metrics.stat_scores.MulticlassStatScores.__call__"]], "__init__() (multiclassstatscores method)": [[108, "cyclops.evaluate.metrics.stat_scores.MulticlassStatScores.__init__"]], "__mul__() (multiclassstatscores method)": [[108, "cyclops.evaluate.metrics.stat_scores.MulticlassStatScores.__mul__"]], "add_state() (multiclassstatscores method)": [[108, "cyclops.evaluate.metrics.stat_scores.MulticlassStatScores.add_state"]], "clone() (multiclassstatscores method)": [[108, "cyclops.evaluate.metrics.stat_scores.MulticlassStatScores.clone"]], "compute() (multiclassstatscores method)": [[108, "cyclops.evaluate.metrics.stat_scores.MulticlassStatScores.compute"]], "reset_state() (multiclassstatscores method)": [[108, "cyclops.evaluate.metrics.stat_scores.MulticlassStatScores.reset_state"]], "update_state() (multiclassstatscores method)": [[108, "cyclops.evaluate.metrics.stat_scores.MulticlassStatScores.update_state"]], "multilabelstatscores (class in cyclops.evaluate.metrics.stat_scores)": [[109, "cyclops.evaluate.metrics.stat_scores.MultilabelStatScores"]], "__add__() (multilabelstatscores method)": [[109, "cyclops.evaluate.metrics.stat_scores.MultilabelStatScores.__add__"]], "__call__() (multilabelstatscores method)": [[109, "cyclops.evaluate.metrics.stat_scores.MultilabelStatScores.__call__"]], "__init__() (multilabelstatscores method)": [[109, "cyclops.evaluate.metrics.stat_scores.MultilabelStatScores.__init__"]], "__mul__() (multilabelstatscores method)": [[109, "cyclops.evaluate.metrics.stat_scores.MultilabelStatScores.__mul__"]], "add_state() (multilabelstatscores method)": [[109, "cyclops.evaluate.metrics.stat_scores.MultilabelStatScores.add_state"]], "clone() (multilabelstatscores method)": [[109, "cyclops.evaluate.metrics.stat_scores.MultilabelStatScores.clone"]], "compute() (multilabelstatscores method)": [[109, "cyclops.evaluate.metrics.stat_scores.MultilabelStatScores.compute"]], "reset_state() (multilabelstatscores method)": [[109, "cyclops.evaluate.metrics.stat_scores.MultilabelStatScores.reset_state"]], "update_state() (multilabelstatscores method)": [[109, "cyclops.evaluate.metrics.stat_scores.MultilabelStatScores.update_state"]], "statscores (class in cyclops.evaluate.metrics.stat_scores)": [[110, "cyclops.evaluate.metrics.stat_scores.StatScores"]], "__add__() (statscores method)": [[110, "cyclops.evaluate.metrics.stat_scores.StatScores.__add__"]], "__call__() (statscores method)": [[110, "cyclops.evaluate.metrics.stat_scores.StatScores.__call__"]], "__init__() (statscores method)": [[110, "cyclops.evaluate.metrics.stat_scores.StatScores.__init__"]], "__mul__() (statscores method)": [[110, "cyclops.evaluate.metrics.stat_scores.StatScores.__mul__"]], "add_state() (statscores method)": [[110, "cyclops.evaluate.metrics.stat_scores.StatScores.add_state"]], "clone() (statscores method)": [[110, "cyclops.evaluate.metrics.stat_scores.StatScores.clone"]], "compute() (statscores method)": [[110, "cyclops.evaluate.metrics.stat_scores.StatScores.compute"]], "name (statscores property)": [[110, "cyclops.evaluate.metrics.stat_scores.StatScores.name"]], "reset_state() (statscores method)": [[110, "cyclops.evaluate.metrics.stat_scores.StatScores.reset_state"]], "update_state() (statscores method)": [[110, "cyclops.evaluate.metrics.stat_scores.StatScores.update_state"]], "cyclops.monitor.clinical_applicator": [[111, "module-cyclops.monitor.clinical_applicator"]], "clinicalshiftapplicator (class in cyclops.monitor.clinical_applicator)": [[112, "cyclops.monitor.clinical_applicator.ClinicalShiftApplicator"]], "age() (clinicalshiftapplicator method)": [[112, "cyclops.monitor.clinical_applicator.ClinicalShiftApplicator.age"]], "apply_shift() (clinicalshiftapplicator method)": [[112, "cyclops.monitor.clinical_applicator.ClinicalShiftApplicator.apply_shift"]], "custom() (clinicalshiftapplicator method)": [[112, "cyclops.monitor.clinical_applicator.ClinicalShiftApplicator.custom"]], "hospital_type() (clinicalshiftapplicator method)": [[112, "cyclops.monitor.clinical_applicator.ClinicalShiftApplicator.hospital_type"]], "month() (clinicalshiftapplicator method)": [[112, "cyclops.monitor.clinical_applicator.ClinicalShiftApplicator.month"]], "sex() (clinicalshiftapplicator method)": [[112, "cyclops.monitor.clinical_applicator.ClinicalShiftApplicator.sex"]], "time() (clinicalshiftapplicator method)": [[112, "cyclops.monitor.clinical_applicator.ClinicalShiftApplicator.time"]], "cyclops.monitor.synthetic_applicator": [[113, "module-cyclops.monitor.synthetic_applicator"]], "syntheticshiftapplicator (class in cyclops.monitor.synthetic_applicator)": [[114, "cyclops.monitor.synthetic_applicator.SyntheticShiftApplicator"]], "apply_shift() (syntheticshiftapplicator method)": [[114, "cyclops.monitor.synthetic_applicator.SyntheticShiftApplicator.apply_shift"]], "binary_noise_shift() (in module cyclops.monitor.synthetic_applicator)": [[115, "cyclops.monitor.synthetic_applicator.binary_noise_shift"]], "feature_association_shift() (in module cyclops.monitor.synthetic_applicator)": [[116, "cyclops.monitor.synthetic_applicator.feature_association_shift"]], "feature_swap_shift() (in module cyclops.monitor.synthetic_applicator)": [[117, 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"cyclops.report.report.ModelCardReport.log_descriptor"]], "log_fairness_assessment() (modelcardreport method)": [[121, "cyclops.report.report.ModelCardReport.log_fairness_assessment"]], "log_from_dict() (modelcardreport method)": [[121, "cyclops.report.report.ModelCardReport.log_from_dict"]], "log_image() (modelcardreport method)": [[121, "cyclops.report.report.ModelCardReport.log_image"]], "log_license() (modelcardreport method)": [[121, "cyclops.report.report.ModelCardReport.log_license"]], "log_model_parameters() (modelcardreport method)": [[121, "cyclops.report.report.ModelCardReport.log_model_parameters"]], "log_owner() (modelcardreport method)": [[121, "cyclops.report.report.ModelCardReport.log_owner"]], "log_performance_metrics() (modelcardreport method)": [[121, "cyclops.report.report.ModelCardReport.log_performance_metrics"]], "log_plotly_figure() (modelcardreport method)": [[121, "cyclops.report.report.ModelCardReport.log_plotly_figure"]], "log_quantitative_analysis() (modelcardreport method)": [[121, "cyclops.report.report.ModelCardReport.log_quantitative_analysis"]], "log_reference() (modelcardreport method)": [[121, "cyclops.report.report.ModelCardReport.log_reference"]], "log_regulation() (modelcardreport method)": [[121, "cyclops.report.report.ModelCardReport.log_regulation"]], "log_risk() (modelcardreport method)": [[121, "cyclops.report.report.ModelCardReport.log_risk"]], "log_use_case() (modelcardreport method)": [[121, "cyclops.report.report.ModelCardReport.log_use_case"]], "log_user() (modelcardreport method)": [[121, "cyclops.report.report.ModelCardReport.log_user"]], "log_version() (modelcardreport method)": [[121, "cyclops.report.report.ModelCardReport.log_version"]], "cyclops.tasks.classification": [[122, "module-cyclops.tasks.classification"]], "binarytabularclassificationtask (class in cyclops.tasks.classification)": [[123, "cyclops.tasks.classification.BinaryTabularClassificationTask"]], "__init__() (binarytabularclassificationtask 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\ No newline at end of file
diff --git a/api/tutorials/kaggle/heart_failure_prediction.html b/api/tutorials/kaggle/heart_failure_prediction.html
index 4b87032f4..69cfe4783 100644
--- a/api/tutorials/kaggle/heart_failure_prediction.html
+++ b/api/tutorials/kaggle/heart_failure_prediction.html
@@ -484,7 +484,7 @@ 
    Import Libraries
 
    -/mnt/data/poetry/pycyclops-wIzUAwxh-py3.10/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
+/mnt/data/poetry/pycyclops-mhx6UJW0-py3.10/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
   from .autonotebook import tqdm as notebook_tqdm
    @@ -556,7 +556,7 @@

    Data Loading 
    -2023-11-21 17:46:48,022 INFO cyclops.utils.file - Loading DataFrame from ./data/heart.csv
+2023-11-21 18:19:00,421 INFO cyclops.utils.file - Loading DataFrame from ./data/heart.csv
    @@ -638,9 +638,9 @@

    Sex values

    -
    +
    @@ -1353,7 +1353,7 @@

    Graphics

    -
    +
    @@ -1361,7 +1361,7 @@

    Graphics

    -
    +
    @@ -1424,11 +1424,11 @@

    Quantitative Analysis

    - 0.61 + 0.87 - ▼ + ▲ @@ -1457,7 +1457,7 @@

    Quantitative Analysis
    - 0.84 + 0.81 @@ -1490,7 +1490,7 @@

    Quantitative Analysis
    - 0.81 + 0.88 @@ -1523,7 +1523,7 @@

    Quantitative Analysis
    - 0.92 + 0.73 @@ -1556,11 +1556,11 @@

    Quantitative Analysis
    - 0.84 + 0.66 - ▲ + ▼ @@ -1614,7 +1614,7 @@

    Graphics

    -
    +
    @@ -1887,7 +1887,7 @@

    Model Parameters

    -

    Shuffle

    +

    Early_stopping

    True
    @@ -1896,8 +1896,8 @@

    Shuffle

    -

    Warm_start

    - False +

    Shuffle

    + True
    @@ -1914,7 +1914,7 @@

    Average

    -

    Epsilon

    +

    Validation_fraction

    0.1
    @@ -1923,8 +1923,8 @@

    Epsilon

    -

    Loss

    - log_loss +

    Eta0

    + 0.01
    @@ -1932,8 +1932,8 @@

    Loss

    -

    Validation_fraction

    - 0.1 +

    Verbose

    + 0
    @@ -1941,8 +1941,8 @@

    Validation_fraction

    -

    N_iter_no_change

    - 5 +

    L1_ratio

    + 0.15
    @@ -1950,8 +1950,8 @@

    N_iter_no_change

    -

    Verbose

    - 0 +

    Loss

    + log_loss
    @@ -1959,8 +1959,8 @@

    Verbose

    -

    Power_t

    - 0.5 +

    Random_state

    + 123
    @@ -1968,8 +1968,8 @@

    Power_t

    -

    Tol

    - 0.001 +

    Penalty

    + l2
    @@ -1977,8 +1977,8 @@

    Tol

    -

    Fit_intercept

    - True +

    Epsilon

    + 0.1
    @@ -1986,8 +1986,8 @@

    Fit_intercept

    -

    Alpha

    - 0.001 +

    N_iter_no_change

    + 5
    @@ -1995,8 +1995,8 @@

    Alpha

    -

    Class_weight

    - balanced +

    Max_iter

    + 1000
    @@ -2004,8 +2004,8 @@

    Class_weight

    -

    Random_state

    - 123 +

    Fit_intercept

    + True
    @@ -2013,8 +2013,8 @@

    Random_state

    -

    Early_stopping

    - True +

    Warm_start

    + False
    @@ -2022,8 +2022,8 @@

    Early_stopping

    -

    Eta0

    - 0.01 +

    Alpha

    + 0.001
    @@ -2031,31 +2031,31 @@

    Eta0

    -

    Max_iter

    - 1000 +

    Power_t

    + 0.5
    -
    -

    Learning_rate

    - adaptive -
    +
    +

    Tol

    + 0.001 +
    -

    Penalty

    - l2 +

    Class_weight

    + balanced
    @@ -2063,8 +2063,8 @@

    Penalty

    -

    L1_ratio

    - 0.15 +

    Learning_rate

    + adaptive
    @@ -2366,7 +2366,7 @@

    Ethical Considerations

    function generate_model_card_plot() { var model_card_plots = [] var overall_indices = [11, 12, 13, 14, 15] - var histories = JSON.parse("{\"0\": [\"0.8421052631578947\", \"0.9045875091853557\", \"0.9335784594802349\", \"0.7312606262599042\", \"0.9845144337668099\"], \"1\": [\"0.796875\", \"0.7013553360046847\", \"0.7841292576089297\", \"0.7338037379624139\", \"0.670151003610635\"], \"2\": [\"0.8260869565217391\", \"1.0\", \"0.7887379673128244\", \"0.7327021886370649\", \"0.7836564714758413\"], \"3\": [\"0.6785714285714286\", \"0.6905144495363397\", \"0.6670695850121688\", \"0.7368015370716811\", \"0.6421120745545202\"], \"4\": [\"0.7450980392156863\", \"0.7348594735767631\", \"0.8094675869204067\", \"0.6269207490707654\", \"0.7453199420768654\"], \"5\": [\"0.8819444444444444\", \"0.9893454887859147\", \"0.879023125474671\", \"0.8943556105376103\", \"0.9552524976691987\"], \"6\": [\"0.8623853211009175\", \"1.0\", \"1.0\", \"1.0\", \"0.7044192826225926\"], \"7\": [\"0.8676470588235294\", \"0.8579802764248023\", \"0.8973850189549228\", \"0.7768073859950586\", \"0.9660531393818493\"], \"8\": [\"0.9076923076923077\", \"1.0\", \"0.8637458516449031\", \"0.918994569750581\", \"1.0\"], \"9\": [\"0.8872180451127819\", \"0.8318846440217303\", \"0.9699040283692625\", \"0.8633509751599202\", \"0.7310483103134766\"], \"10\": [\"0.927972027972028\", \"0.8397267811777273\", \"1.0\", \"0.9686333303607986\", \"0.931491337101245\"], \"11\": [\"0.842391304347826\", \"0.7679116500620369\", \"0.7954148376316973\", \"0.7944557810999637\", \"0.6098214798283765\"], \"12\": [\"0.8686868686868687\", \"1.0\", \"0.8797391240286389\", \"0.9853776885671222\", \"0.841877902768206\"], \"13\": [\"0.8431372549019608\", \"0.7420304664366493\", \"1.0\", \"0.951331407147058\", \"0.8137023219748806\"], \"14\": [\"0.8557213930348259\", \"0.8094548332408528\", \"0.855148152721542\", \"0.7115769468520302\", \"0.9249592115252119\"], \"15\": [\"0.9152319464371114\", \"1.0\", \"1.0\", \"0.7985446627610001\", \"0.8431474473769561\"]}"); + var histories = JSON.parse("{\"0\": [\"0.8421052631578947\", \"0.7171156000386191\", \"0.76854917887423\", \"0.9113410072213048\", \"0.671952963249149\"], \"1\": [\"0.796875\", \"0.7294693507244718\", \"0.8111195438220646\", \"0.8123034938414972\", \"0.9323049585929939\"], \"2\": [\"0.8260869565217391\", \"0.8113507403073826\", \"0.6152299611935489\", \"0.8470747589688271\", \"0.6542680276041482\"], \"3\": [\"0.6785714285714286\", \"0.6797590965339463\", \"0.7735256795963283\", \"0.5293458124144984\", \"0.6022359785729076\"], \"4\": [\"0.7450980392156863\", \"0.8612510829612596\", \"0.685417640706491\", \"0.7507139300110964\", \"0.8863722531829328\"], \"5\": [\"0.8819444444444444\", \"0.7723631217096414\", \"0.8662900623442038\", \"0.8235238829792384\", \"0.7751653861566398\"], \"6\": [\"0.8623853211009175\", \"0.9963365994325977\", \"0.9781349508961896\", \"0.9914603076556232\", \"0.7872858365369403\"], \"7\": [\"0.8676470588235294\", \"0.933992325640357\", \"0.9090886554714501\", \"0.8453665344757937\", \"0.9029173779662599\"], \"8\": [\"0.9076923076923077\", \"1.0\", \"1.0\", \"1.0\", \"0.9683809015779768\"], \"9\": [\"0.8872180451127819\", \"0.961998912356001\", \"0.7600866464149119\", \"0.7016400640034317\", \"0.8399932728295916\"], \"10\": [\"0.927972027972028\", \"0.8221075076695386\", \"0.9374599886587942\", \"1.0\", \"1.0\"], \"11\": [\"0.842391304347826\", \"0.8214863197033365\", \"0.6590187600411591\", \"0.8378035250061524\", \"0.8659904709362027\"], \"12\": [\"0.8686868686868687\", \"0.8309558680253899\", \"0.6251220979037424\", \"0.9696247548518081\", \"0.814864357450254\"], \"13\": [\"0.8431372549019608\", \"0.804253391568613\", \"0.9134963399841048\", \"0.9081261233628044\", \"0.883597370676408\"], \"14\": [\"0.8557213930348259\", \"0.957191641304053\", \"0.7709830843750193\", \"0.8051715676223965\", \"0.7325013200826912\"], \"15\": [\"0.9152319464371114\", \"0.9482710567137184\", \"0.9544156098218309\", \"0.890276018804808\", \"0.6556830238628937\"]}"); var thresholds = JSON.parse("{\"0\": \"0.7\", \"1\": \"0.7\", \"2\": \"0.7\", \"3\": \"0.7\", \"4\": \"0.7\", \"5\": \"0.7\", \"6\": \"0.7\", \"7\": \"0.7\", \"8\": \"0.7\", \"9\": \"0.7\", \"10\": \"0.7\", \"11\": \"0.7\", \"12\": \"0.7\", \"13\": \"0.7\", \"14\": \"0.7\", \"15\": \"0.7\"}"); var timestamps = JSON.parse("{\"0\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"1\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"2\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"3\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"4\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"5\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"6\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"7\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"8\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"9\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"10\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"11\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"12\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"13\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"14\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"15\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"]}"); @@ -2647,10 +2647,10 @@

    Ethical Considerations

    } } var slices_all = JSON.parse("{\"0\": [\"metric:Accuracy\", \"Sex:F\", \"Age:overall_Age\"], \"1\": [\"metric:Accuracy\", \"Age:[30 - 50)\", \"Sex:overall_Sex\"], \"2\": [\"metric:Precision\", \"Age:[30 - 50)\", \"Sex:overall_Sex\"], \"3\": [\"metric:Recall\", \"Age:[30 - 50)\", \"Sex:overall_Sex\"], \"4\": [\"metric:F1 Score\", \"Age:[30 - 50)\", \"Sex:overall_Sex\"], \"5\": [\"metric:AUROC\", \"Age:[30 - 50)\", \"Sex:overall_Sex\"], \"6\": [\"metric:Accuracy\", \"Age:[50 - 70)\", \"Sex:overall_Sex\"], \"7\": [\"metric:Precision\", \"Age:[50 - 70)\", \"Sex:overall_Sex\"], \"8\": [\"metric:Recall\", \"Age:[50 - 70)\", \"Sex:overall_Sex\"], \"9\": [\"metric:F1 Score\", \"Age:[50 - 70)\", \"Sex:overall_Sex\"], \"10\": [\"metric:AUROC\", \"Age:[50 - 70)\", \"Sex:overall_Sex\"], \"11\": [\"metric:Accuracy\", \"Sex:overall_Sex\", \"Age:overall_Age\"], \"12\": [\"metric:Precision\", \"Sex:overall_Sex\", \"Age:overall_Age\"], \"13\": [\"metric:Recall\", \"Sex:overall_Sex\", \"Age:overall_Age\"], \"14\": [\"metric:F1 Score\", \"Sex:overall_Sex\", \"Age:overall_Age\"], \"15\": [\"metric:AUROC\", \"Sex:overall_Sex\", \"Age:overall_Age\"]}"); - var histories_all = JSON.parse("{\"0\": [\"0.8421052631578947\", \"0.9045875091853557\", \"0.9335784594802349\", \"0.7312606262599042\", \"0.9845144337668099\"], \"1\": [\"0.796875\", \"0.7013553360046847\", \"0.7841292576089297\", \"0.7338037379624139\", \"0.670151003610635\"], \"2\": [\"0.8260869565217391\", \"1.0\", \"0.7887379673128244\", \"0.7327021886370649\", \"0.7836564714758413\"], \"3\": [\"0.6785714285714286\", \"0.6905144495363397\", \"0.6670695850121688\", \"0.7368015370716811\", \"0.6421120745545202\"], \"4\": [\"0.7450980392156863\", \"0.7348594735767631\", \"0.8094675869204067\", \"0.6269207490707654\", \"0.7453199420768654\"], \"5\": [\"0.8819444444444444\", \"0.9893454887859147\", \"0.879023125474671\", \"0.8943556105376103\", \"0.9552524976691987\"], \"6\": [\"0.8623853211009175\", \"1.0\", \"1.0\", \"1.0\", \"0.7044192826225926\"], \"7\": [\"0.8676470588235294\", \"0.8579802764248023\", \"0.8973850189549228\", \"0.7768073859950586\", \"0.9660531393818493\"], \"8\": [\"0.9076923076923077\", \"1.0\", \"0.8637458516449031\", \"0.918994569750581\", \"1.0\"], \"9\": [\"0.8872180451127819\", \"0.8318846440217303\", \"0.9699040283692625\", \"0.8633509751599202\", \"0.7310483103134766\"], \"10\": [\"0.927972027972028\", \"0.8397267811777273\", \"1.0\", \"0.9686333303607986\", \"0.931491337101245\"], \"11\": [\"0.842391304347826\", \"0.7679116500620369\", \"0.7954148376316973\", \"0.7944557810999637\", \"0.6098214798283765\"], \"12\": [\"0.8686868686868687\", \"1.0\", \"0.8797391240286389\", \"0.9853776885671222\", \"0.841877902768206\"], \"13\": [\"0.8431372549019608\", \"0.7420304664366493\", \"1.0\", \"0.951331407147058\", \"0.8137023219748806\"], \"14\": [\"0.8557213930348259\", \"0.8094548332408528\", \"0.855148152721542\", \"0.7115769468520302\", \"0.9249592115252119\"], \"15\": [\"0.9152319464371114\", \"1.0\", \"1.0\", \"0.7985446627610001\", \"0.8431474473769561\"]}"); + var histories_all = JSON.parse("{\"0\": [\"0.8421052631578947\", \"0.7171156000386191\", \"0.76854917887423\", \"0.9113410072213048\", \"0.671952963249149\"], \"1\": [\"0.796875\", \"0.7294693507244718\", \"0.8111195438220646\", \"0.8123034938414972\", \"0.9323049585929939\"], \"2\": [\"0.8260869565217391\", \"0.8113507403073826\", \"0.6152299611935489\", \"0.8470747589688271\", \"0.6542680276041482\"], \"3\": [\"0.6785714285714286\", \"0.6797590965339463\", \"0.7735256795963283\", \"0.5293458124144984\", \"0.6022359785729076\"], \"4\": [\"0.7450980392156863\", \"0.8612510829612596\", \"0.685417640706491\", \"0.7507139300110964\", \"0.8863722531829328\"], \"5\": [\"0.8819444444444444\", \"0.7723631217096414\", \"0.8662900623442038\", \"0.8235238829792384\", \"0.7751653861566398\"], \"6\": [\"0.8623853211009175\", \"0.9963365994325977\", \"0.9781349508961896\", \"0.9914603076556232\", \"0.7872858365369403\"], \"7\": [\"0.8676470588235294\", \"0.933992325640357\", \"0.9090886554714501\", \"0.8453665344757937\", \"0.9029173779662599\"], \"8\": [\"0.9076923076923077\", \"1.0\", \"1.0\", \"1.0\", \"0.9683809015779768\"], \"9\": [\"0.8872180451127819\", \"0.961998912356001\", \"0.7600866464149119\", \"0.7016400640034317\", \"0.8399932728295916\"], \"10\": [\"0.927972027972028\", \"0.8221075076695386\", \"0.9374599886587942\", \"1.0\", \"1.0\"], \"11\": [\"0.842391304347826\", \"0.8214863197033365\", \"0.6590187600411591\", \"0.8378035250061524\", \"0.8659904709362027\"], \"12\": [\"0.8686868686868687\", \"0.8309558680253899\", \"0.6251220979037424\", \"0.9696247548518081\", \"0.814864357450254\"], \"13\": [\"0.8431372549019608\", \"0.804253391568613\", \"0.9134963399841048\", \"0.9081261233628044\", \"0.883597370676408\"], \"14\": [\"0.8557213930348259\", \"0.957191641304053\", \"0.7709830843750193\", \"0.8051715676223965\", \"0.7325013200826912\"], \"15\": [\"0.9152319464371114\", \"0.9482710567137184\", \"0.9544156098218309\", \"0.890276018804808\", \"0.6556830238628937\"]}"); var thresholds_all = JSON.parse("{\"0\": \"0.7\", \"1\": \"0.7\", \"2\": \"0.7\", \"3\": \"0.7\", \"4\": \"0.7\", \"5\": \"0.7\", \"6\": \"0.7\", \"7\": \"0.7\", \"8\": \"0.7\", \"9\": \"0.7\", \"10\": \"0.7\", \"11\": \"0.7\", \"12\": \"0.7\", \"13\": \"0.7\", \"14\": \"0.7\", \"15\": \"0.7\"}"); - var trends_all = JSON.parse("{\"0\": \"positive\", \"1\": \"negative\", \"2\": \"negative\", \"3\": \"neutral\", \"4\": \"negative\", \"5\": \"neutral\", \"6\": \"negative\", \"7\": \"positive\", \"8\": \"positive\", \"9\": \"negative\", \"10\": \"positive\", \"11\": \"negative\", \"12\": \"neutral\", \"13\": \"positive\", \"14\": \"neutral\", \"15\": \"negative\"}"); - var passed_all = JSON.parse("{\"0\": true, \"1\": false, \"2\": true, \"3\": false, \"4\": true, \"5\": true, \"6\": true, \"7\": true, \"8\": true, \"9\": true, \"10\": true, \"11\": false, \"12\": true, \"13\": true, \"14\": true, \"15\": true}"); + var trends_all = JSON.parse("{\"0\": \"negative\", \"1\": \"positive\", \"2\": \"negative\", \"3\": \"negative\", \"4\": \"positive\", \"5\": \"negative\", \"6\": \"negative\", \"7\": \"neutral\", \"8\": \"positive\", \"9\": \"negative\", \"10\": \"positive\", \"11\": \"neutral\", \"12\": \"neutral\", \"13\": \"positive\", \"14\": \"negative\", \"15\": \"negative\"}"); + var passed_all = JSON.parse("{\"0\": false, \"1\": true, \"2\": false, \"3\": false, \"4\": true, \"5\": true, \"6\": true, \"7\": true, \"8\": true, \"9\": true, \"10\": true, \"11\": true, \"12\": true, \"13\": true, \"14\": true, \"15\": false}"); var names_all = JSON.parse("{\"0\": \"Accuracy\", \"1\": \"Accuracy\", \"2\": \"Precision\", \"3\": \"Recall\", \"4\": \"F1 Score\", \"5\": \"AUROC\", \"6\": \"Accuracy\", \"7\": \"Precision\", \"8\": \"Recall\", \"9\": \"F1 Score\", \"10\": \"AUROC\", \"11\": \"Accuracy\", \"12\": \"Precision\", \"13\": \"Recall\", \"14\": \"F1 Score\", \"15\": \"AUROC\"}"); var timestamps_all = JSON.parse("{\"0\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"1\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"2\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"3\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"4\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"5\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"6\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"7\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"8\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"9\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"10\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"11\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"12\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"13\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"14\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"15\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"]}"); @@ -2923,10 +2923,10 @@

    Ethical Considerations

    } } var slices_all = JSON.parse("{\"0\": [\"metric:Accuracy\", \"Sex:F\", \"Age:overall_Age\"], \"1\": [\"metric:Accuracy\", \"Age:[30 - 50)\", \"Sex:overall_Sex\"], \"2\": [\"metric:Precision\", \"Age:[30 - 50)\", \"Sex:overall_Sex\"], \"3\": [\"metric:Recall\", \"Age:[30 - 50)\", \"Sex:overall_Sex\"], \"4\": [\"metric:F1 Score\", \"Age:[30 - 50)\", \"Sex:overall_Sex\"], \"5\": [\"metric:AUROC\", \"Age:[30 - 50)\", \"Sex:overall_Sex\"], \"6\": [\"metric:Accuracy\", \"Age:[50 - 70)\", \"Sex:overall_Sex\"], \"7\": [\"metric:Precision\", \"Age:[50 - 70)\", \"Sex:overall_Sex\"], \"8\": [\"metric:Recall\", \"Age:[50 - 70)\", \"Sex:overall_Sex\"], \"9\": [\"metric:F1 Score\", \"Age:[50 - 70)\", \"Sex:overall_Sex\"], \"10\": [\"metric:AUROC\", \"Age:[50 - 70)\", \"Sex:overall_Sex\"], \"11\": [\"metric:Accuracy\", \"Sex:overall_Sex\", \"Age:overall_Age\"], \"12\": [\"metric:Precision\", \"Sex:overall_Sex\", \"Age:overall_Age\"], \"13\": [\"metric:Recall\", \"Sex:overall_Sex\", \"Age:overall_Age\"], \"14\": [\"metric:F1 Score\", \"Sex:overall_Sex\", \"Age:overall_Age\"], \"15\": [\"metric:AUROC\", \"Sex:overall_Sex\", \"Age:overall_Age\"]}"); - var histories_all = JSON.parse("{\"0\": [\"0.8421052631578947\", \"0.9045875091853557\", \"0.9335784594802349\", \"0.7312606262599042\", \"0.9845144337668099\"], \"1\": [\"0.796875\", \"0.7013553360046847\", \"0.7841292576089297\", \"0.7338037379624139\", \"0.670151003610635\"], \"2\": [\"0.8260869565217391\", \"1.0\", \"0.7887379673128244\", \"0.7327021886370649\", \"0.7836564714758413\"], \"3\": [\"0.6785714285714286\", \"0.6905144495363397\", \"0.6670695850121688\", \"0.7368015370716811\", \"0.6421120745545202\"], \"4\": [\"0.7450980392156863\", \"0.7348594735767631\", \"0.8094675869204067\", \"0.6269207490707654\", \"0.7453199420768654\"], \"5\": [\"0.8819444444444444\", \"0.9893454887859147\", \"0.879023125474671\", \"0.8943556105376103\", \"0.9552524976691987\"], \"6\": [\"0.8623853211009175\", \"1.0\", \"1.0\", \"1.0\", \"0.7044192826225926\"], \"7\": [\"0.8676470588235294\", \"0.8579802764248023\", \"0.8973850189549228\", \"0.7768073859950586\", \"0.9660531393818493\"], \"8\": [\"0.9076923076923077\", \"1.0\", \"0.8637458516449031\", \"0.918994569750581\", \"1.0\"], \"9\": [\"0.8872180451127819\", \"0.8318846440217303\", \"0.9699040283692625\", \"0.8633509751599202\", \"0.7310483103134766\"], \"10\": [\"0.927972027972028\", \"0.8397267811777273\", \"1.0\", \"0.9686333303607986\", \"0.931491337101245\"], \"11\": [\"0.842391304347826\", \"0.7679116500620369\", \"0.7954148376316973\", \"0.7944557810999637\", \"0.6098214798283765\"], \"12\": [\"0.8686868686868687\", \"1.0\", \"0.8797391240286389\", \"0.9853776885671222\", \"0.841877902768206\"], \"13\": [\"0.8431372549019608\", \"0.7420304664366493\", \"1.0\", \"0.951331407147058\", \"0.8137023219748806\"], \"14\": [\"0.8557213930348259\", \"0.8094548332408528\", \"0.855148152721542\", \"0.7115769468520302\", \"0.9249592115252119\"], \"15\": [\"0.9152319464371114\", \"1.0\", \"1.0\", \"0.7985446627610001\", \"0.8431474473769561\"]}"); + var histories_all = JSON.parse("{\"0\": [\"0.8421052631578947\", \"0.7171156000386191\", \"0.76854917887423\", \"0.9113410072213048\", \"0.671952963249149\"], \"1\": [\"0.796875\", \"0.7294693507244718\", \"0.8111195438220646\", \"0.8123034938414972\", \"0.9323049585929939\"], \"2\": [\"0.8260869565217391\", \"0.8113507403073826\", \"0.6152299611935489\", \"0.8470747589688271\", \"0.6542680276041482\"], \"3\": [\"0.6785714285714286\", \"0.6797590965339463\", \"0.7735256795963283\", \"0.5293458124144984\", \"0.6022359785729076\"], \"4\": [\"0.7450980392156863\", \"0.8612510829612596\", \"0.685417640706491\", \"0.7507139300110964\", \"0.8863722531829328\"], \"5\": [\"0.8819444444444444\", \"0.7723631217096414\", \"0.8662900623442038\", \"0.8235238829792384\", \"0.7751653861566398\"], \"6\": [\"0.8623853211009175\", \"0.9963365994325977\", \"0.9781349508961896\", \"0.9914603076556232\", \"0.7872858365369403\"], \"7\": [\"0.8676470588235294\", \"0.933992325640357\", \"0.9090886554714501\", \"0.8453665344757937\", \"0.9029173779662599\"], \"8\": [\"0.9076923076923077\", \"1.0\", \"1.0\", \"1.0\", \"0.9683809015779768\"], \"9\": [\"0.8872180451127819\", \"0.961998912356001\", \"0.7600866464149119\", \"0.7016400640034317\", \"0.8399932728295916\"], \"10\": [\"0.927972027972028\", \"0.8221075076695386\", \"0.9374599886587942\", \"1.0\", \"1.0\"], \"11\": [\"0.842391304347826\", \"0.8214863197033365\", \"0.6590187600411591\", \"0.8378035250061524\", \"0.8659904709362027\"], \"12\": [\"0.8686868686868687\", \"0.8309558680253899\", \"0.6251220979037424\", \"0.9696247548518081\", \"0.814864357450254\"], \"13\": [\"0.8431372549019608\", \"0.804253391568613\", \"0.9134963399841048\", \"0.9081261233628044\", \"0.883597370676408\"], \"14\": [\"0.8557213930348259\", \"0.957191641304053\", \"0.7709830843750193\", \"0.8051715676223965\", \"0.7325013200826912\"], \"15\": [\"0.9152319464371114\", \"0.9482710567137184\", \"0.9544156098218309\", \"0.890276018804808\", \"0.6556830238628937\"]}"); var thresholds_all = JSON.parse("{\"0\": \"0.7\", \"1\": \"0.7\", \"2\": \"0.7\", \"3\": \"0.7\", \"4\": \"0.7\", \"5\": \"0.7\", \"6\": \"0.7\", \"7\": \"0.7\", \"8\": \"0.7\", \"9\": \"0.7\", \"10\": \"0.7\", \"11\": \"0.7\", \"12\": \"0.7\", \"13\": \"0.7\", \"14\": \"0.7\", \"15\": \"0.7\"}"); - var trends_all = JSON.parse("{\"0\": \"positive\", \"1\": \"negative\", \"2\": \"negative\", \"3\": \"neutral\", \"4\": \"negative\", \"5\": \"neutral\", \"6\": \"negative\", \"7\": \"positive\", \"8\": \"positive\", \"9\": \"negative\", \"10\": \"positive\", \"11\": \"negative\", \"12\": \"neutral\", \"13\": \"positive\", \"14\": \"neutral\", \"15\": \"negative\"}"); - var passed_all = JSON.parse("{\"0\": true, \"1\": false, \"2\": true, \"3\": false, \"4\": true, \"5\": true, \"6\": true, \"7\": true, \"8\": true, \"9\": true, \"10\": true, \"11\": false, \"12\": true, \"13\": true, \"14\": true, \"15\": true}"); + var trends_all = JSON.parse("{\"0\": \"negative\", \"1\": \"positive\", \"2\": \"negative\", \"3\": \"negative\", \"4\": \"positive\", \"5\": \"negative\", \"6\": \"negative\", \"7\": \"neutral\", \"8\": \"positive\", \"9\": \"negative\", \"10\": \"positive\", \"11\": \"neutral\", \"12\": \"neutral\", \"13\": \"positive\", \"14\": \"negative\", \"15\": \"negative\"}"); + var passed_all = JSON.parse("{\"0\": false, \"1\": true, \"2\": false, \"3\": false, \"4\": true, \"5\": true, \"6\": true, \"7\": true, \"8\": true, \"9\": true, \"10\": true, \"11\": true, \"12\": true, \"13\": true, \"14\": true, \"15\": false}"); var names_all = JSON.parse("{\"0\": \"Accuracy\", \"1\": \"Accuracy\", \"2\": \"Precision\", \"3\": \"Recall\", \"4\": \"F1 Score\", \"5\": \"AUROC\", \"6\": \"Accuracy\", \"7\": \"Precision\", \"8\": \"Recall\", \"9\": \"F1 Score\", \"10\": \"AUROC\", \"11\": \"Accuracy\", \"12\": \"Precision\", \"13\": \"Recall\", \"14\": \"F1 Score\", \"15\": \"AUROC\"}"); var timestamps_all = JSON.parse("{\"0\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"1\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"2\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"3\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"4\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"5\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"6\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"7\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"8\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"9\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"10\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"11\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"12\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"13\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"14\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"15\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"]}"); diff --git a/api/tutorials/nihcxr/cxr_classification.html b/api/tutorials/nihcxr/cxr_classification.html index 6d2ec094d..e052af924 100644 --- a/api/tutorials/nihcxr/cxr_classification.html +++ b/api/tutorials/nihcxr/cxr_classification.html @@ -441,7 +441,7 @@

    Chest X-Ray Disease Classification

    -

    This notebook shows chest x-ray classification on the NIH dataset using a pretrained model from the TorchXRayVision library and CyclOps to generate a model card.

    +

    This notebook shows chest x-ray classification on the NIH dataset using a pretrained model from the TorchXRayVision library and CyclOps to generate a model card.

    Import Libraries

    @@ -456,7 +456,7 @@

    Import Librariesimport numpy as np import plotly.express as px -from monai.transforms import Compose, Lambdad, Resized +from torchvision.transforms import Compose from torchxrayvision.models import DenseNet from cyclops.data.loader import load_nihcxr @@ -464,6 +464,7 @@

    Import LibrariesSliceSpec, filter_value, # noqa: E402 ) +from cyclops.data.transforms import Lambdad, Resized from cyclops.data.utils import apply_transforms from cyclops.evaluate import evaluator from cyclops.evaluate.metrics.factory import create_metric @@ -478,7 +479,7 @@

    Import Libraries 
    -/mnt/data/poetry/pycyclops-wIzUAwxh-py3.10/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
+/mnt/data/poetry/pycyclops-mhx6UJW0-py3.10/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
   from .autonotebook import tqdm as notebook_tqdm

    @@ -503,74 +504,74 @@

    Generate Historical Reports 
    -Flattening the indices: 100%|████████| 1000/1000 [00:58<00:00, 17.13 examples/s]
-Flattening the indices: 100%|████| 1000/1000 [00:00<00:00, 548920.82 examples/s]
-Filter: 100%|████████████████████| 1000/1000 [00:00<00:00, 241663.06 examples/s]
-Map: 100%|███████████████████████████| 400/400 [00:00<00:00, 1904.06 examples/s]
-Filter -> Patient Gender:M: 100%|███| 400/400 [00:00<00:00, 43408.06 examples/s]
-Filter -> Patient Gender:F: 100%|███| 400/400 [00:00<00:00, 42714.03 examples/s]
-Filter -> overall: 100%|████████████| 400/400 [00:00<00:00, 45356.09 examples/s]
-Filter -> Patient Age:[19 - 35]: 100%|█| 400/400 [00:00<00:00, 44882.87 examples
-Filter -> Patient Age:[35 - 65]: 100%|█| 400/400 [00:00<00:00, 45359.76 examples
-Filter -> Patient Age:[65 - 100]: 100%|█| 400/400 [00:00<00:00, 44953.82 example
+Flattening the indices: 100%|████████| 1000/1000 [00:55<00:00, 18.02 examples/s]
+Flattening the indices: 100%|████| 1000/1000 [00:00<00:00, 560061.96 examples/s]
+Filter: 100%|████████████████████| 1000/1000 [00:00<00:00, 238123.31 examples/s]
+Map: 100%|███████████████████████████| 400/400 [00:00<00:00, 1864.69 examples/s]
+Filter -> Patient Gender:M: 100%|███| 400/400 [00:00<00:00, 40384.21 examples/s]
+Filter -> Patient Gender:F: 100%|███| 400/400 [00:00<00:00, 43512.76 examples/s]
+Filter -> overall: 100%|████████████| 400/400 [00:00<00:00, 45556.84 examples/s]
+Filter -> Patient Age:[19 - 35]: 100%|█| 400/400 [00:00<00:00, 44561.00 examples
+Filter -> Patient Age:[35 - 65]: 100%|█| 400/400 [00:00<00:00, 45555.60 examples
+Filter -> Patient Age:[65 - 100]: 100%|█| 400/400 [00:00<00:00, 45078.23 example
 Filter -> Patient Age:[19 - 35]&Patient Gender:M: 100%|█| 400/400 [00:00<00:00,
 Filter -> Patient Age:[19 - 35]&Patient Gender:F: 100%|█| 400/400 [00:00<00:00,
 Filter -> Patient Age:[35 - 65]&Patient Gender:M: 100%|█| 400/400 [00:00<00:00,
 Filter -> Patient Age:[35 - 65]&Patient Gender:F: 100%|█| 400/400 [00:00<00:00,
 Filter -> Patient Age:[65 - 100]&Patient Gender:M: 100%|█| 400/400 [00:00<00:00,
 Filter -> Patient Age:[65 - 100]&Patient Gender:F: 100%|█| 400/400 [00:00<00:00,
-Filter -> overall: 100%|████████████| 400/400 [00:00<00:00, 46836.26 examples/s]
-Flattening the indices: 100%|████████| 1000/1000 [00:55<00:00, 18.01 examples/s]
-Flattening the indices: 100%|████| 1000/1000 [00:00<00:00, 568026.00 examples/s]
-Filter: 100%|████████████████████| 1000/1000 [00:00<00:00, 241941.86 examples/s]
-Map: 100%|███████████████████████████| 396/396 [00:00<00:00, 1926.71 examples/s]
-Filter -> Patient Gender:M: 100%|███| 396/396 [00:00<00:00, 43295.48 examples/s]
-Filter -> Patient Gender:F: 100%|███| 396/396 [00:00<00:00, 43239.12 examples/s]
-Filter -> overall: 100%|████████████| 396/396 [00:00<00:00, 44897.67 examples/s]
-Filter -> Patient Age:[19 - 35]: 100%|█| 396/396 [00:00<00:00, 44478.07 examples
-Filter -> Patient Age:[35 - 65]: 100%|█| 396/396 [00:00<00:00, 45408.29 examples
-Filter -> Patient Age:[65 - 100]: 100%|█| 396/396 [00:00<00:00, 44738.04 example
+Filter -> overall: 100%|████████████| 400/400 [00:00<00:00, 45469.17 examples/s]
+Flattening the indices: 100%|████████| 1000/1000 [00:54<00:00, 18.49 examples/s]
+Flattening the indices: 100%|████| 1000/1000 [00:00<00:00, 299486.18 examples/s]
+Filter: 100%|████████████████████| 1000/1000 [00:00<00:00, 122629.71 examples/s]
+Map: 100%|███████████████████████████| 396/396 [00:00<00:00, 1069.97 examples/s]
+Filter -> Patient Gender:M: 100%|███| 396/396 [00:00<00:00, 22679.03 examples/s]
+Filter -> Patient Gender:F: 100%|███| 396/396 [00:00<00:00, 22490.17 examples/s]
+Filter -> overall: 100%|████████████| 396/396 [00:00<00:00, 43893.88 examples/s]
+Filter -> Patient Age:[19 - 35]: 100%|█| 396/396 [00:00<00:00, 44002.02 examples
+Filter -> Patient Age:[35 - 65]: 100%|█| 396/396 [00:00<00:00, 46026.11 examples
+Filter -> Patient Age:[65 - 100]: 100%|█| 396/396 [00:00<00:00, 44858.87 example
 Filter -> Patient Age:[19 - 35]&Patient Gender:M: 100%|█| 396/396 [00:00<00:00,
 Filter -> Patient Age:[19 - 35]&Patient Gender:F: 100%|█| 396/396 [00:00<00:00,
 Filter -> Patient Age:[35 - 65]&Patient Gender:M: 100%|█| 396/396 [00:00<00:00,
 Filter -> Patient Age:[35 - 65]&Patient Gender:F: 100%|█| 396/396 [00:00<00:00,
 Filter -> Patient Age:[65 - 100]&Patient Gender:M: 100%|█| 396/396 [00:00<00:00,
 Filter -> Patient Age:[65 - 100]&Patient Gender:F: 100%|█| 396/396 [00:00<00:00,
-Filter -> overall: 100%|████████████| 396/396 [00:00<00:00, 45637.86 examples/s]
-Flattening the indices: 100%|████████| 1000/1000 [00:56<00:00, 17.63 examples/s]
-Flattening the indices: 100%|████| 1000/1000 [00:00<00:00, 546417.93 examples/s]
-Filter: 100%|████████████████████| 1000/1000 [00:00<00:00, 238217.98 examples/s]
-Map: 100%|███████████████████████████| 383/383 [00:00<00:00, 1894.68 examples/s]
-Filter -> Patient Gender:M: 100%|███| 383/383 [00:00<00:00, 42079.28 examples/s]
-Filter -> Patient Gender:F: 100%|███| 383/383 [00:00<00:00, 42750.04 examples/s]
-Filter -> overall: 100%|████████████| 383/383 [00:00<00:00, 44087.56 examples/s]
-Filter -> Patient Age:[19 - 35]: 100%|█| 383/383 [00:00<00:00, 43930.82 examples
-Filter -> Patient Age:[35 - 65]: 100%|█| 383/383 [00:00<00:00, 44755.76 examples
-Filter -> Patient Age:[65 - 100]: 100%|█| 383/383 [00:00<00:00, 43878.03 example
+Filter -> overall: 100%|████████████| 396/396 [00:00<00:00, 46600.76 examples/s]
+Flattening the indices: 100%|████████| 1000/1000 [00:53<00:00, 18.59 examples/s]
+Flattening the indices: 100%|████| 1000/1000 [00:00<00:00, 293574.86 examples/s]
+Filter: 100%|████████████████████| 1000/1000 [00:00<00:00, 122967.66 examples/s]
+Map: 100%|███████████████████████████| 383/383 [00:00<00:00, 1062.39 examples/s]
+Filter -> Patient Gender:M: 100%|███| 383/383 [00:00<00:00, 24096.88 examples/s]
+Filter -> Patient Gender:F: 100%|███| 383/383 [00:00<00:00, 20982.48 examples/s]
+Filter -> overall: 100%|████████████| 383/383 [00:00<00:00, 27212.67 examples/s]
+Filter -> Patient Age:[19 - 35]: 100%|█| 383/383 [00:00<00:00, 43604.09 examples
+Filter -> Patient Age:[35 - 65]: 100%|█| 383/383 [00:00<00:00, 45543.73 examples
+Filter -> Patient Age:[65 - 100]: 100%|█| 383/383 [00:00<00:00, 44552.19 example
 Filter -> Patient Age:[19 - 35]&Patient Gender:M: 100%|█| 383/383 [00:00<00:00,
 Filter -> Patient Age:[19 - 35]&Patient Gender:F: 100%|█| 383/383 [00:00<00:00,
 Filter -> Patient Age:[35 - 65]&Patient Gender:M: 100%|█| 383/383 [00:00<00:00,
 Filter -> Patient Age:[35 - 65]&Patient Gender:F: 100%|█| 383/383 [00:00<00:00,
 Filter -> Patient Age:[65 - 100]&Patient Gender:M: 100%|█| 383/383 [00:00<00:00,
 Filter -> Patient Age:[65 - 100]&Patient Gender:F: 100%|█| 383/383 [00:00<00:00,
-Filter -> overall: 100%|████████████| 383/383 [00:00<00:00, 44490.50 examples/s]
-Flattening the indices: 100%|████████| 1000/1000 [00:55<00:00, 17.96 examples/s]
-Flattening the indices: 100%|████| 1000/1000 [00:00<00:00, 251562.65 examples/s]
-Filter: 100%|████████████████████| 1000/1000 [00:00<00:00, 121334.88 examples/s]
-Map: 100%|███████████████████████████| 411/411 [00:00<00:00, 1060.88 examples/s]
-Filter -> Patient Gender:M: 100%|███| 411/411 [00:00<00:00, 23086.06 examples/s]
-Filter -> Patient Gender:F: 100%|███| 411/411 [00:00<00:00, 22099.34 examples/s]
-Filter -> overall: 100%|████████████| 411/411 [00:00<00:00, 23068.45 examples/s]
-Filter -> Patient Age:[19 - 35]: 100%|█| 411/411 [00:00<00:00, 44642.21 examples
-Filter -> Patient Age:[35 - 65]: 100%|█| 411/411 [00:00<00:00, 45994.10 examples
-Filter -> Patient Age:[65 - 100]: 100%|█| 411/411 [00:00<00:00, 44954.21 example
+Filter -> overall: 100%|████████████| 383/383 [00:00<00:00, 45871.46 examples/s]
+Flattening the indices: 100%|████████| 1000/1000 [00:52<00:00, 18.96 examples/s]
+Flattening the indices: 100%|████| 1000/1000 [00:00<00:00, 291960.46 examples/s]
+Filter: 100%|████████████████████| 1000/1000 [00:00<00:00, 119085.32 examples/s]
+Map: 100%|███████████████████████████| 411/411 [00:00<00:00, 1069.31 examples/s]
+Filter -> Patient Gender:M: 100%|███| 411/411 [00:00<00:00, 22974.98 examples/s]
+Filter -> Patient Gender:F: 100%|███| 411/411 [00:00<00:00, 20578.97 examples/s]
+Filter -> overall: 100%|████████████| 411/411 [00:00<00:00, 40760.88 examples/s]
+Filter -> Patient Age:[19 - 35]: 100%|█| 411/411 [00:00<00:00, 45460.42 examples
+Filter -> Patient Age:[35 - 65]: 100%|█| 411/411 [00:00<00:00, 45297.95 examples
+Filter -> Patient Age:[65 - 100]: 100%|█| 411/411 [00:00<00:00, 45069.39 example
 Filter -> Patient Age:[19 - 35]&Patient Gender:M: 100%|█| 411/411 [00:00<00:00,
 Filter -> Patient Age:[19 - 35]&Patient Gender:F: 100%|█| 411/411 [00:00<00:00,
 Filter -> Patient Age:[35 - 65]&Patient Gender:M: 100%|█| 411/411 [00:00<00:00,
 Filter -> Patient Age:[35 - 65]&Patient Gender:F: 100%|█| 411/411 [00:00<00:00,
 Filter -> Patient Age:[65 - 100]&Patient Gender:M: 100%|█| 411/411 [00:00<00:00,
 Filter -> Patient Age:[65 - 100]&Patient Gender:F: 100%|█| 411/411 [00:00<00:00,
-Filter -> overall: 100%|████████████| 411/411 [00:00<00:00, 46989.56 examples/s]
+Filter -> overall: 100%|████████████| 411/411 [00:00<00:00, 47366.57 examples/s]

    CyclOps offers a package for documentation of the model through a model report. The ModelCardReport class is used to populate and generate the model report as an HTML file. The model report has the following sections:

    @@ -621,8 +622,9 @@

    Load Datasetallow_missing_keys=True, ), Lambdad( - ("image",), - func=lambda x: np.mean(x, axis=0)[np.newaxis, :] if x.shape[0] != 1 else x, + keys=("image",), + func=lambda x: x[0][np.newaxis, :] if x.shape[0] != 1 else x, + allow_missing_keys=True, ), ], ) @@ -667,8 +669,8 @@

    Model Creation 
    -Filter: 100%|██████████| 1000/1000 [00:00<00:00, 72971.07 examples/s]
-Map: 100%|██████████| 661/661 [00:00<00:00, 1711.48 examples/s]
+Filter: 100%|██████████| 1000/1000 [00:00<00:00, 63551.02 examples/s]
+Map: 100%|██████████| 661/661 [00:00<00:00, 1676.38 examples/s]

    @@ -795,9 +797,9 @@

    Multilabel AUROC by Pathology and Sex 
    -Filter -> Patient Gender:M: 100%|██████████| 661/661 [00:00<00:00, 47085.39 examples/s]
-Filter -> Patient Gender:F: 100%|██████████| 661/661 [00:00<00:00, 46322.28 examples/s]
-Filter -> overall: 100%|██████████| 661/661 [00:00<00:00, 47010.34 examples/s]
+Filter -> Patient Gender:M: 100%|██████████| 661/661 [00:00<00:00, 44672.02 examples/s]
+Filter -> Patient Gender:F: 100%|██████████| 661/661 [00:00<00:00, 46803.21 examples/s]
+Filter -> overall: 100%|██████████| 661/661 [00:00<00:00, 46626.11 examples/s]

    @@ -858,16 +860,16 @@

    Multilabel AUROC by Pathology and Age 
    -Filter -> Patient Age:[19 - 35]: 100%|██████████| 661/661 [00:00<00:00, 48206.20 examples/s]
-Filter -> Patient Age:[35 - 65]: 100%|██████████| 661/661 [00:00<00:00, 46832.46 examples/s]
-Filter -> Patient Age:[65 - 100]: 100%|██████████| 661/661 [00:00<00:00, 46565.02 examples/s]
-Filter -> Patient Age:[19 - 35]&Patient Gender:M: 100%|██████████| 661/661 [00:00<00:00, 46522.05 examples/s]
-Filter -> Patient Age:[19 - 35]&Patient Gender:F: 100%|██████████| 661/661 [00:00<00:00, 46613.56 examples/s]
-Filter -> Patient Age:[35 - 65]&Patient Gender:M: 100%|██████████| 661/661 [00:00<00:00, 46746.39 examples/s]
-Filter -> Patient Age:[35 - 65]&Patient Gender:F: 100%|██████████| 661/661 [00:00<00:00, 46758.22 examples/s]
-Filter -> Patient Age:[65 - 100]&Patient Gender:M: 100%|██████████| 661/661 [00:00<00:00, 43305.09 examples/s]
-Filter -> Patient Age:[65 - 100]&Patient Gender:F: 100%|██████████| 661/661 [00:00<00:00, 43727.19 examples/s]
-Filter -> overall: 100%|██████████| 661/661 [00:00<00:00, 46826.93 examples/s]
+Filter -> Patient Age:[19 - 35]: 100%|██████████| 661/661 [00:00<00:00, 45776.19 examples/s]
+Filter -> Patient Age:[35 - 65]: 100%|██████████| 661/661 [00:00<00:00, 47137.43 examples/s]
+Filter -> Patient Age:[65 - 100]: 100%|██████████| 661/661 [00:00<00:00, 47004.76 examples/s]
+Filter -> Patient Age:[19 - 35]&Patient Gender:M: 100%|██████████| 661/661 [00:00<00:00, 46473.70 examples/s]
+Filter -> Patient Age:[19 - 35]&Patient Gender:F: 100%|██████████| 661/661 [00:00<00:00, 44987.34 examples/s]
+Filter -> Patient Age:[35 - 65]&Patient Gender:M: 100%|██████████| 661/661 [00:00<00:00, 45784.51 examples/s]
+Filter -> Patient Age:[35 - 65]&Patient Gender:F: 100%|██████████| 661/661 [00:00<00:00, 45161.02 examples/s]
+Filter -> Patient Age:[65 - 100]&Patient Gender:M: 100%|██████████| 661/661 [00:00<00:00, 44552.85 examples/s]
+Filter -> Patient Age:[65 - 100]&Patient Gender:F: 100%|██████████| 661/661 [00:00<00:00, 45609.76 examples/s]
+Filter -> overall: 100%|██████████| 661/661 [00:00<00:00, 44025.07 examples/s]
    @@ -924,9 +926,9 @@

    Multilabel AUROC by Pathology and Age

    -
    +
    @@ -6615,7 +6615,7 @@

    Graphics

    -
    +
    @@ -6623,7 +6623,7 @@

    Graphics

    -
    +
    @@ -7866,7 +7866,7 @@

    Quantitative Analysis

    - 0.83 + 0.82 @@ -7927,7 +7927,7 @@

    Quantitative Analysis
    - 0.33 + 0.32 @@ -8731,7 +8731,7 @@

    Tradeoffs

    function generate_model_card_plot() { var model_card_plots = [] var overall_indices = [540, 555, 570, 585] - var histories = JSON.parse("{\"0\": [\"0.15167980673960318\", \"0.14129280028530336\", \"0.15995072768185709\", \"0.1258001490759194\"], \"1\": [\"0.30952380952380953\", \"0.3939393939393939\", \"0.32653061224489793\", \"0.20689655172413793\"], \"2\": [\"0.10714285714285714\", \"0.17777777777777778\", \"0.06896551724137931\", \"0.026845637583892617\"], \"3\": [\"0.4426229508196721\", \"0.42592592592592593\", \"0.647887323943662\", \"0.3712121212121212\"], \"4\": [\"0.047619047619047616\", \"0.05\", \"0.06\", \"0.4112903225806452\"], \"5\": [\"0.1276595744680851\", \"0.023255813953488372\", \"0.020833333333333332\", \"0.06422018348623854\"], \"6\": [\"0.027777777777777776\", \"0.0\", \"0.027777777777777776\", \"0.01834862385321101\"], \"7\": [\"0.041666666666666664\", \"0.0\", \"0.09375\", \"0.05102040816326531\"], \"8\": [\"0.36363636363636365\", \"0.48148148148148145\", \"0.43902439024390244\", \"0.17708333333333334\"], \"9\": [\"0.0\", \"0.02857142857142857\", \"0.045454545454545456\", \"0.03787878787878788\"], \"10\": [\"0.06451612903225806\", \"0.07407407407407407\", \"0.05\", \"0.16822429906542055\"], \"11\": [\"0.2962962962962963\", \"0.15789473684210525\", \"0.12\", \"0.1\"], \"12\": [\"0.05263157894736842\", \"0.09375\", \"0.175\", \"0.06818181818181818\"], \"13\": [\"0.24242424242424243\", \"0.07142857142857142\", \"0.10526315789473684\", \"0.06\"], \"14\": [\"0.0\", \"0.0\", \"0.058823529411764705\", \"0.0\"], \"15\": [\"0.948161213119298\", \"0.9395606461176224\", \"0.937037604089962\", \"0.9041296306770732\"], \"16\": [\"0.9285714285714286\", \"0.9642857142857143\", \"0.8823529411764706\", \"0.9230769230769231\"], \"17\": [\"1.0\", \"1.0\", \"1.0\", \"0.8333333333333334\"], \"18\": [\"0.7777777777777778\", \"0.5714285714285714\", \"0.5833333333333334\", \"0.6521739130434783\"], \"19\": [\"0.9285714285714286\", \"0.9047619047619048\", \"1.0\", \"0.7096774193548387\"], \"20\": [\"1.0\", \"1.0\", \"0.9714285714285714\", \"1.0\"], \"21\": [\"0.9705882352941176\", \"0.96875\", \"0.9787234042553191\", \"0.8260869565217391\"], \"22\": [\"0.9347826086956522\", \"1.0\", \"0.9803921568627451\", \"0.9649122807017544\"], \"23\": [\"0.9615384615384616\", \"0.9117647058823529\", \"0.8809523809523809\", \"0.9491525423728814\"], \"24\": [\"0.967741935483871\", \"0.9615384615384616\", \"1.0\", \"0.9130434782608695\"], \"25\": [\"0.9487179487179487\", \"0.9705882352941176\", \"1.0\", \"0.9791666666666666\"], \"26\": [\"0.9767441860465116\", \"1.0\", \"1.0\", \"1.0\"], \"27\": [\"0.90625\", \"0.9310344827586207\", \"0.9302325581395349\", \"0.9253731343283582\"], \"28\": [\"0.972972972972973\", \"0.9696969696969697\", \"0.9111111111111111\", \"0.9818181818181818\"], \"29\": [\"1.0\", \"1.0\", \"1.0\", \"1.0\"], \"30\": [\"0.61904681412795\", \"0.6113585818942961\", \"0.816754962854707\", \"0.7305053759940978\"], \"31\": [\"0.8666666666666667\", \"0.9285714285714286\", \"0.8\", \"0.8888888888888888\"], \"32\": [\"1.0\", \"1.0\", \"1.0\", \"0.8\"], \"33\": [\"0.9310344827586207\", \"0.8846153846153846\", \"0.9019607843137255\", \"0.8596491228070176\"], \"34\": [\"0.5\", \"0.5\", \"1.0\", \"0.85\"], \"35\": [\"1.0\", \"1.0\", \"0.5\", \"1.0\"], \"36\": [\"0.5\", \"0.0\", \"0.5\", \"0.2\"], \"37\": [\"0.25\", \"0.0\", \"0.75\", \"0.7142857142857143\"], \"38\": [\"0.9411764705882353\", \"0.8125\", \"0.782608695652174\", \"0.85\"], \"39\": [\"0.0\", \"0.5\", \"1.0\", \"0.7142857142857143\"], \"40\": [\"0.5\", \"0.6666666666666666\", \"1.0\", \"0.9473684210526315\"], \"41\": [\"0.8888888888888888\", \"1.0\", \"1.0\", \"1.0\"], \"42\": [\"0.4\", \"0.6\", \"0.7\", \"0.5454545454545454\"], \"43\": [\"0.8888888888888888\", \"0.6666666666666666\", \"0.5\", \"0.8571428571428571\"], \"44\": [\"0.0\", \"0.0\", \"1.0\", \"0.0\"], \"45\": [\"0.46336563851831164\", \"0.48289690046395356\", \"0.5070017410868425\", \"0.3276357598055654\"], \"46\": [\"0.4727272727272727\", \"0.574468085106383\", \"0.47619047619047616\", \"0.28125\"], \"47\": [\"0.21875\", \"0.3018867924528302\", \"0.31645569620253167\", \"0.03333333333333333\"], \"48\": [\"0.17073170731707318\", \"0.11428571428571428\", \"0.21875\", \"0.15306122448979592\"], \"49\": [\"0.3939393939393939\", \"0.3333333333333333\", \"0.4125\", \"0.23157894736842105\"], \"50\": [\"0.359375\", \"0.3\", \"0.41975308641975306\", \"0.3108108108108108\"], \"51\": [\"0.4852941176470588\", \"0.5166666666666667\", \"0.5679012345679012\", \"0.2620689655172414\"], \"52\": [\"0.6515151515151515\", \"0.5245901639344263\", \"0.6329113924050633\", \"0.3716216216216216\"], \"53\": [\"0.4716981132075472\", \"0.6888888888888889\", \"0.6166666666666667\", \"0.4148148148148148\"], \"54\": [\"0.43478260869565216\", \"0.423728813559322\", \"0.48148148148148145\", \"0.14189189189189189\"], \"55\": [\"0.5606060606060606\", \"0.5689655172413793\", \"0.5308641975308642\", 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[\"0.030303030303030304\", \"0.078125\", \"0.08870967741935484\", \"0.10380622837370242\"], \"66\": [\"0.03571428571428571\", \"0.041379310344827586\", \"0.05714285714285714\", \"0.0821917808219178\"], \"67\": [\"0.04929577464788732\", \"0.02877697841726619\", \"0.048\", \"0.05855855855855856\"], \"68\": [\"0.3969465648854962\", \"0.3492063492063492\", \"0.35\", \"0.30111524163568776\"], \"69\": [\"0.03164556962025317\", \"0.014492753623188406\", \"0.023255813953488372\", \"0.030508474576271188\"], \"70\": [\"0.06338028169014084\", \"0.06818181818181818\", \"0.1\", \"0.07228915662650602\"], \"71\": [\"0.15294117647058825\", \"0.0958904109589041\", \"0.08064516129032258\", \"0.34615384615384615\"], \"72\": [\"0.16417910447761194\", \"0.16176470588235295\", \"0.2028985507246377\", \"0.045081967213114756\"], \"73\": [\"0.2072072072072072\", \"0.13333333333333333\", \"0.17073170731707318\", \"0.08298755186721991\"], \"74\": [\"0.0\", \"0.0\", \"0.01639344262295082\", 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    Tradeoffs

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    Tradeoffs

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    @@ -2141,9 +2141,9 @@

    Ethical Considerations

    function generate_model_card_plot() { var model_card_plots = [] var overall_indices = [20, 21, 22, 23, 24] - var histories = JSON.parse("{\"0\": [\"0.8442622950819673\", \"0.8302044935580514\", \"0.8105413620932244\", \"0.9369268740049433\", \"0.7600016778092054\", \"0.8428983413899046\"], \"1\": [\"0.9142857142857143\", \"1.0\", \"0.7861767138164719\", \"1.0\", \"1.0\", \"0.9186897587240712\"], \"2\": [\"0.8311688311688312\", \"0.7156893430612931\", \"0.7326176527762751\", \"0.6495988724358226\", \"0.9213549952232672\", \"0.9917942943690428\"], \"3\": [\"0.8707482993197279\", \"0.8703007316265128\", \"0.8528022437923952\", \"0.832830874858614\", \"0.7916489878641297\", \"0.7975841023949767\"], \"4\": [\"0.9385281385281384\", \"0.9002073596040516\", \"0.9382153055953605\", \"0.854057205148044\", \"1.0\", \"0.9093215888214363\"], \"5\": [\"0.8148148148148148\", \"0.7693716963408984\", \"0.7663566597364805\", \"0.7331901114443904\", \"0.9364261743917466\", \"0.8651818526294065\"], \"6\": [\"0.8076923076923077\", \"0.7064014050056564\", \"0.7962394840083418\", \"0.87496377538536\", \"0.7658722479641332\", \"0.9337805725399144\"], \"7\": [\"0.8076923076923077\", \"0.9326775456033176\", \"0.7687638226548204\", \"0.6208169377964927\", \"0.9193801990931805\", \"0.7631044472635228\"], \"8\": [\"0.8076923076923077\", \"0.9094746178353824\", \"0.8910360705637528\", \"0.629770886762993\", \"0.7708202261280337\", \"0.6307440588895667\"], \"9\": [\"0.9464285714285714\", \"0.8592426162729523\", \"1.0\", \"0.9818297919867535\", \"1.0\", \"0.8684398602684207\"], \"10\": [\"0.8571428571428571\", \"0.8949697068436855\", \"0.7500145667375671\", \"0.6108244344316381\", \"0.739210967115157\", \"0.918096276588085\"], \"11\": [\"0.9\", \"0.8927528911893396\", \"0.7631999440445385\", \"0.8651632723224506\", \"0.7629503822616194\", \"1.0\"], \"12\": [\"0.8888888888888888\", \"0.7986013697842341\", \"0.9049955394819189\", \"0.8928602603284324\", \"0.955978021450266\", \"0.8358445539160816\"], \"13\": [\"0.8944099378881988\", \"0.9392761994965579\", \"0.9455354134789296\", \"0.8162448669868314\", \"0.9268652881866679\", \"0.8208057126619682\"], \"14\": [\"0.9512670565302144\", \"1.0\", \"0.9321077637075388\", \"1.0\", \"0.9807052551440506\", \"0.8506088606605934\"], \"15\": [\"0.8598130841121495\", \"0.8190492921194307\", \"0.889346247213523\", \"0.8886572843483416\", \"0.9505924321492417\", \"0.9752947614358558\"], \"16\": [\"0.9016393442622951\", \"0.7615358490863982\", \"0.9363129193962862\", \"0.7978351698425331\", \"0.9616181200158889\", \"0.679940821927169\"], \"17\": [\"0.859375\", \"0.848913759377174\", \"1.0\", \"0.9521046659966758\", \"0.9041547764613638\", \"1.0\"], \"18\": [\"0.88\", \"0.8947127144168597\", \"0.9050928153964464\", \"0.8754936913611906\", \"0.8591508017943775\", \"0.8123443234201125\"], \"19\": [\"0.9393168604651163\", \"1.0\", \"1.0\", \"1.0\", \"0.6715812987783545\", \"0.9396920826235913\"], \"20\": [\"0.8584070796460177\", \"0.9003213616981618\", \"0.8952352768414731\", \"0.8482326032237566\", \"0.7868575939810327\", \"0.9599989176023164\"], \"21\": [\"0.900709219858156\", \"0.9363109506238582\", \"0.9545980492467724\", \"0.8895318399029487\", \"0.9129226224420919\", \"0.777366966910693\"], \"22\": [\"0.8758620689655172\", \"0.9159225964013626\", \"0.8262444051292115\", \"0.8692264102602903\", \"0.8712582208440588\", \"0.833301877222904\"], \"23\": [\"0.8881118881118881\", \"0.9291642834544093\", \"0.906360108463652\", \"0.9621584896774814\", \"0.7260616363644966\", \"0.921775783381726\"], \"24\": [\"0.9444870157513835\", \"1.0\", \"0.9438163322958502\", \"1.0\", \"1.0\", \"0.9719035709396919\"]}"); + var histories = JSON.parse("{\"0\": [\"0.8571428571428571\", \"0.8753691816235952\", \"0.9216377245527057\", \"0.7588385193155955\", \"0.9197730229759383\", \"0.828323842015422\"], \"1\": [\"0.9180327868852459\", \"0.93954824898471\", \"0.8437973548096597\", \"0.7727619918013479\", \"0.8774861987149868\", \"0.9185251654578225\"], \"2\": [\"0.835820895522388\", \"0.6787021477378502\", \"0.6989535378546627\", \"0.7484231852599452\", \"0.8077640436601558\", \"0.8497318864889908\"], \"3\": [\"0.875\", \"0.7801013151946383\", \"0.8211309229461428\", \"0.9788464043330363\", \"0.8673492604651475\", \"0.9593434340798483\"], \"4\": [\"0.9505804311774462\", \"1.0\", \"1.0\", \"1.0\", \"0.827256974743981\", \"0.9036129404091284\"], \"5\": [\"0.8620689655172413\", \"0.7309510871075159\", \"0.7439842694497032\", \"0.7862509621716381\", \"1.0\", \"1.0\"], \"6\": [\"0.8571428571428571\", \"0.9376508618748582\", \"0.8905264633687262\", \"0.646470738387852\", \"0.8017721671528694\", \"0.9136657153480149\"], \"7\": [\"0.8571428571428571\", \"0.7665483694342778\", \"0.7102140715214\", \"0.9075442618922513\", \"0.8163301197204803\", \"0.7688707219494502\"], \"8\": [\"0.8571428571428571\", \"1.0\", \"0.8939104327451186\", \"0.8007069442271839\", \"1.0\", \"0.941454528435833\"], \"9\": [\"0.9690476190476192\", \"0.9878978275859398\", \"0.7369411089728235\", \"1.0\", \"0.9370244421596338\", \"0.8367647485433692\"], \"10\": [\"0.8809523809523809\", \"0.8085585834437473\", \"0.8193874511917365\", \"0.9678872541884985\", \"1.0\", \"0.6961864441627912\"], \"11\": [\"0.9382716049382716\", \"1.0\", \"0.9280989035970024\", \"0.8042888679608392\", \"0.7694374391081571\", \"0.9419853422052742\"], \"12\": [\"0.8837209302325582\", \"0.8516185750551452\", \"0.876269108128822\", \"0.8190046691772913\", \"0.9132235951174296\", \"0.8021982802718506\"], \"13\": [\"0.9101796407185628\", \"0.7830715088649207\", \"1.0\", \"0.9847995073767132\", \"0.7975238533770709\", \"0.6808263771694831\"], \"14\": [\"0.9694767441860466\", \"1.0\", \"0.8689330422457169\", \"1.0\", \"0.9176788515726441\", \"1.0\"], \"15\": [\"0.87\", \"0.7503315950259277\", \"0.9875824679261538\", \"0.7609052150954814\", \"0.8230811028995764\", \"0.9507640584657958\"], \"16\": [\"0.9259259259259259\", \"0.9417316635998167\", \"0.7430117282810556\", \"0.9821619097477696\", \"0.9724215208496099\", \"0.9019890881373838\"], \"17\": [\"0.847457627118644\", \"0.7706390679148817\", \"0.8404708193942495\", \"0.6764935949193\", \"0.8616272382107687\", \"0.628551254852408\"], \"18\": [\"0.8849557522123894\", \"0.8847692576582179\", \"1.0\", \"0.7667183878580044\", \"0.8922825713855127\", \"0.8248027337385367\"], \"19\": [\"0.9648615130219098\", \"0.9420792102162922\", \"0.825422309339607\", \"0.9227175214295508\", \"0.7846061483522877\", \"0.8964779867737233\"], \"20\": [\"0.8761061946902655\", \"0.7113146271884199\", \"0.8519648932004471\", \"0.6657188360263052\", \"0.9177797070610259\", \"0.8468399411841289\"], \"21\": [\"0.9333333333333333\", \"0.8598047426360154\", \"0.999948826940933\", \"0.8970877430843354\", \"0.9687195768198832\", \"0.9248225263688737\"], \"22\": [\"0.8689655172413793\", \"0.8668366102300038\", \"0.8946985322626354\", \"0.8259162110722483\", \"0.8567760908022296\", \"0.9893724004548831\"], \"23\": [\"0.9\", \"0.8068175327662455\", \"1.0\", \"0.9408764868760943\", \"0.8816491303389482\", \"0.952805680512009\"], \"24\": [\"0.9661983822903363\", \"0.9747274392893437\", \"0.9220287767004565\", \"0.9288118279935003\", \"0.8110256477388512\", \"1.0\"]}"); var thresholds = JSON.parse("{\"0\": \"0.7\", \"1\": \"0.7\", \"2\": \"0.7\", \"3\": \"0.7\", \"4\": \"0.7\", \"5\": \"0.7\", \"6\": \"0.7\", \"7\": \"0.7\", \"8\": \"0.7\", \"9\": \"0.7\", \"10\": \"0.7\", \"11\": \"0.7\", \"12\": \"0.7\", \"13\": \"0.7\", \"14\": \"0.7\", \"15\": \"0.7\", \"16\": \"0.7\", \"17\": \"0.7\", \"18\": \"0.7\", \"19\": \"0.7\", \"20\": \"0.7\", \"21\": \"0.7\", \"22\": \"0.7\", \"23\": \"0.7\", \"24\": \"0.7\"}"); - var timestamps = JSON.parse("{\"0\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"1\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"2\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"3\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"4\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"5\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"6\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"7\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"8\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"9\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"10\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"11\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"12\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"13\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"14\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"15\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"16\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"17\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"18\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"19\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"20\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"21\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"22\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"23\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"24\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"]}"); + var timestamps = JSON.parse("{\"0\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"1\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"2\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"3\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"4\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"5\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"6\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"7\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"8\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"9\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"10\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"11\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"12\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"13\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"14\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"15\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"16\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"17\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"18\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"19\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"20\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"21\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"22\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"23\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"24\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"]}"); for (let i = 0; i < overall_indices.length; i++) { var idx = overall_indices[i]; @@ -2422,12 +2422,12 @@

    Ethical Considerations

    } } var slices_all = JSON.parse("{\"0\": [\"metric:Accuracy\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"1\": [\"metric:Precision\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"2\": [\"metric:Recall\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"3\": [\"metric:F1 Score\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"4\": [\"metric:AUROC\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"5\": [\"metric:Accuracy\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"6\": [\"metric:Precision\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"7\": [\"metric:Recall\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"8\": [\"metric:F1 Score\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"9\": [\"metric:AUROC\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"10\": [\"metric:Accuracy\", \"gender:M\", \"age:overall_age\"], \"11\": [\"metric:Precision\", \"gender:M\", \"age:overall_age\"], \"12\": [\"metric:Recall\", \"gender:M\", \"age:overall_age\"], \"13\": [\"metric:F1 Score\", \"gender:M\", \"age:overall_age\"], \"14\": [\"metric:AUROC\", \"gender:M\", \"age:overall_age\"], \"15\": [\"metric:Accuracy\", \"gender:F\", \"age:overall_age\"], \"16\": [\"metric:Precision\", \"gender:F\", \"age:overall_age\"], \"17\": [\"metric:Recall\", \"gender:F\", \"age:overall_age\"], \"18\": [\"metric:F1 Score\", \"gender:F\", \"age:overall_age\"], \"19\": [\"metric:AUROC\", \"gender:F\", \"age:overall_age\"], \"20\": [\"metric:Accuracy\", \"age:overall_age\", \"gender:overall_gender\"], \"21\": [\"metric:Precision\", \"age:overall_age\", \"gender:overall_gender\"], \"22\": [\"metric:Recall\", \"age:overall_age\", \"gender:overall_gender\"], \"23\": [\"metric:F1 Score\", \"age:overall_age\", \"gender:overall_gender\"], \"24\": [\"metric:AUROC\", \"age:overall_age\", \"gender:overall_gender\"]}"); - var histories_all = JSON.parse("{\"0\": [\"0.8442622950819673\", \"0.8302044935580514\", \"0.8105413620932244\", \"0.9369268740049433\", \"0.7600016778092054\", \"0.8428983413899046\"], \"1\": [\"0.9142857142857143\", \"1.0\", \"0.7861767138164719\", \"1.0\", \"1.0\", \"0.9186897587240712\"], \"2\": [\"0.8311688311688312\", \"0.7156893430612931\", \"0.7326176527762751\", \"0.6495988724358226\", \"0.9213549952232672\", \"0.9917942943690428\"], \"3\": [\"0.8707482993197279\", \"0.8703007316265128\", \"0.8528022437923952\", \"0.832830874858614\", \"0.7916489878641297\", \"0.7975841023949767\"], \"4\": [\"0.9385281385281384\", \"0.9002073596040516\", \"0.9382153055953605\", \"0.854057205148044\", \"1.0\", \"0.9093215888214363\"], \"5\": [\"0.8148148148148148\", \"0.7693716963408984\", \"0.7663566597364805\", \"0.7331901114443904\", \"0.9364261743917466\", \"0.8651818526294065\"], \"6\": [\"0.8076923076923077\", \"0.7064014050056564\", \"0.7962394840083418\", \"0.87496377538536\", \"0.7658722479641332\", \"0.9337805725399144\"], \"7\": [\"0.8076923076923077\", \"0.9326775456033176\", \"0.7687638226548204\", \"0.6208169377964927\", \"0.9193801990931805\", \"0.7631044472635228\"], \"8\": [\"0.8076923076923077\", \"0.9094746178353824\", \"0.8910360705637528\", \"0.629770886762993\", \"0.7708202261280337\", \"0.6307440588895667\"], \"9\": [\"0.9464285714285714\", \"0.8592426162729523\", \"1.0\", \"0.9818297919867535\", \"1.0\", \"0.8684398602684207\"], \"10\": [\"0.8571428571428571\", \"0.8949697068436855\", \"0.7500145667375671\", \"0.6108244344316381\", \"0.739210967115157\", \"0.918096276588085\"], \"11\": [\"0.9\", \"0.8927528911893396\", \"0.7631999440445385\", \"0.8651632723224506\", \"0.7629503822616194\", \"1.0\"], \"12\": [\"0.8888888888888888\", \"0.7986013697842341\", \"0.9049955394819189\", \"0.8928602603284324\", \"0.955978021450266\", \"0.8358445539160816\"], \"13\": [\"0.8944099378881988\", \"0.9392761994965579\", \"0.9455354134789296\", \"0.8162448669868314\", \"0.9268652881866679\", \"0.8208057126619682\"], \"14\": [\"0.9512670565302144\", \"1.0\", \"0.9321077637075388\", \"1.0\", \"0.9807052551440506\", \"0.8506088606605934\"], \"15\": [\"0.8598130841121495\", \"0.8190492921194307\", \"0.889346247213523\", \"0.8886572843483416\", \"0.9505924321492417\", \"0.9752947614358558\"], \"16\": [\"0.9016393442622951\", \"0.7615358490863982\", \"0.9363129193962862\", \"0.7978351698425331\", \"0.9616181200158889\", \"0.679940821927169\"], \"17\": [\"0.859375\", \"0.848913759377174\", \"1.0\", \"0.9521046659966758\", \"0.9041547764613638\", \"1.0\"], \"18\": [\"0.88\", \"0.8947127144168597\", \"0.9050928153964464\", \"0.8754936913611906\", \"0.8591508017943775\", \"0.8123443234201125\"], \"19\": [\"0.9393168604651163\", \"1.0\", \"1.0\", \"1.0\", \"0.6715812987783545\", \"0.9396920826235913\"], \"20\": [\"0.8584070796460177\", \"0.9003213616981618\", \"0.8952352768414731\", \"0.8482326032237566\", \"0.7868575939810327\", \"0.9599989176023164\"], \"21\": [\"0.900709219858156\", \"0.9363109506238582\", \"0.9545980492467724\", \"0.8895318399029487\", \"0.9129226224420919\", \"0.777366966910693\"], \"22\": [\"0.8758620689655172\", \"0.9159225964013626\", \"0.8262444051292115\", \"0.8692264102602903\", \"0.8712582208440588\", \"0.833301877222904\"], \"23\": [\"0.8881118881118881\", \"0.9291642834544093\", \"0.906360108463652\", \"0.9621584896774814\", \"0.7260616363644966\", \"0.921775783381726\"], \"24\": [\"0.9444870157513835\", \"1.0\", \"0.9438163322958502\", \"1.0\", \"1.0\", \"0.9719035709396919\"]}"); 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var thresholds_all = JSON.parse("{\"0\": \"0.7\", \"1\": \"0.7\", \"2\": \"0.7\", \"3\": \"0.7\", \"4\": \"0.7\", \"5\": \"0.7\", \"6\": \"0.7\", \"7\": \"0.7\", \"8\": \"0.7\", \"9\": \"0.7\", \"10\": \"0.7\", \"11\": \"0.7\", \"12\": \"0.7\", \"13\": \"0.7\", \"14\": \"0.7\", \"15\": \"0.7\", \"16\": \"0.7\", \"17\": \"0.7\", \"18\": \"0.7\", \"19\": \"0.7\", \"20\": \"0.7\", \"21\": \"0.7\", \"22\": \"0.7\", \"23\": \"0.7\", \"24\": \"0.7\"}"); - var trends_all = JSON.parse("{\"0\": \"neutral\", \"1\": \"neutral\", \"2\": \"positive\", \"3\": \"negative\", \"4\": \"neutral\", \"5\": \"positive\", \"6\": \"positive\", \"7\": \"negative\", \"8\": \"negative\", \"9\": \"neutral\", \"10\": \"neutral\", \"11\": \"neutral\", \"12\": \"neutral\", \"13\": \"negative\", \"14\": \"negative\", \"15\": \"positive\", \"16\": \"negative\", \"17\": \"positive\", \"18\": \"negative\", \"19\": \"negative\", \"20\": \"neutral\", \"21\": \"negative\", \"22\": \"neutral\", \"23\": \"negative\", \"24\": \"neutral\"}"); - var passed_all = JSON.parse("{\"0\": true, \"1\": true, \"2\": true, \"3\": true, \"4\": true, \"5\": true, \"6\": true, \"7\": true, \"8\": false, \"9\": true, \"10\": true, \"11\": true, \"12\": true, \"13\": true, \"14\": true, \"15\": true, \"16\": false, \"17\": true, \"18\": true, \"19\": true, \"20\": true, \"21\": true, \"22\": true, \"23\": true, \"24\": true}"); + var trends_all = JSON.parse("{\"0\": \"neutral\", \"1\": \"neutral\", \"2\": \"positive\", \"3\": \"positive\", \"4\": \"negative\", \"5\": \"positive\", \"6\": \"negative\", \"7\": \"neutral\", \"8\": \"neutral\", \"9\": \"negative\", \"10\": \"neutral\", \"11\": \"negative\", \"12\": \"neutral\", \"13\": \"negative\", \"14\": \"neutral\", \"15\": \"positive\", \"16\": \"neutral\", \"17\": \"negative\", \"18\": \"negative\", \"19\": \"negative\", \"20\": \"neutral\", \"21\": \"neutral\", \"22\": \"positive\", \"23\": \"positive\", \"24\": \"neutral\"}"); + var passed_all = JSON.parse("{\"0\": true, \"1\": true, \"2\": true, \"3\": true, \"4\": true, \"5\": true, \"6\": true, \"7\": true, \"8\": true, \"9\": true, \"10\": false, \"11\": true, \"12\": true, \"13\": false, \"14\": true, \"15\": true, \"16\": true, \"17\": false, \"18\": true, \"19\": true, \"20\": true, \"21\": true, \"22\": true, \"23\": true, \"24\": true}"); var names_all = JSON.parse("{\"0\": \"Accuracy\", \"1\": \"Precision\", \"2\": \"Recall\", \"3\": \"F1 Score\", \"4\": \"AUROC\", \"5\": \"Accuracy\", \"6\": \"Precision\", \"7\": \"Recall\", \"8\": \"F1 Score\", \"9\": \"AUROC\", \"10\": \"Accuracy\", \"11\": \"Precision\", \"12\": \"Recall\", \"13\": \"F1 Score\", \"14\": \"AUROC\", \"15\": \"Accuracy\", \"16\": \"Precision\", \"17\": \"Recall\", \"18\": \"F1 Score\", \"19\": \"AUROC\", \"20\": \"Accuracy\", \"21\": \"Precision\", \"22\": \"Recall\", \"23\": \"F1 Score\", \"24\": \"AUROC\"}"); - var timestamps_all = JSON.parse("{\"0\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"1\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"2\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"3\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"4\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"5\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"6\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"7\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"8\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"9\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"10\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"11\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"12\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"13\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"14\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"15\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"16\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"17\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"18\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"19\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"20\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"21\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"22\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"23\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"24\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"]}"); + var timestamps_all = JSON.parse("{\"0\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"1\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"2\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"3\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"4\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"5\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"6\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"7\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"8\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"9\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"10\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"11\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"12\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"13\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"14\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"15\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"16\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"17\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"18\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"19\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"20\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"21\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"22\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"23\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"24\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"]}"); var radioGroups = {}; var labelGroups = {}; @@ -2698,12 +2698,12 @@

    Ethical Considerations

    } } var slices_all = JSON.parse("{\"0\": [\"metric:Accuracy\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"1\": [\"metric:Precision\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"2\": [\"metric:Recall\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"3\": [\"metric:F1 Score\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"4\": [\"metric:AUROC\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"5\": [\"metric:Accuracy\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"6\": [\"metric:Precision\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"7\": [\"metric:Recall\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"8\": [\"metric:F1 Score\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"9\": [\"metric:AUROC\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"10\": [\"metric:Accuracy\", \"gender:M\", \"age:overall_age\"], \"11\": [\"metric:Precision\", \"gender:M\", \"age:overall_age\"], \"12\": [\"metric:Recall\", \"gender:M\", \"age:overall_age\"], \"13\": [\"metric:F1 Score\", \"gender:M\", \"age:overall_age\"], \"14\": [\"metric:AUROC\", \"gender:M\", \"age:overall_age\"], \"15\": [\"metric:Accuracy\", \"gender:F\", \"age:overall_age\"], \"16\": [\"metric:Precision\", \"gender:F\", \"age:overall_age\"], \"17\": [\"metric:Recall\", \"gender:F\", \"age:overall_age\"], \"18\": [\"metric:F1 Score\", \"gender:F\", \"age:overall_age\"], \"19\": [\"metric:AUROC\", \"gender:F\", \"age:overall_age\"], \"20\": [\"metric:Accuracy\", \"age:overall_age\", \"gender:overall_gender\"], \"21\": [\"metric:Precision\", \"age:overall_age\", \"gender:overall_gender\"], \"22\": [\"metric:Recall\", \"age:overall_age\", \"gender:overall_gender\"], \"23\": [\"metric:F1 Score\", \"age:overall_age\", \"gender:overall_gender\"], \"24\": [\"metric:AUROC\", \"age:overall_age\", \"gender:overall_gender\"]}"); 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var thresholds_all = JSON.parse("{\"0\": \"0.7\", \"1\": \"0.7\", \"2\": \"0.7\", \"3\": \"0.7\", \"4\": \"0.7\", \"5\": \"0.7\", \"6\": \"0.7\", \"7\": \"0.7\", \"8\": \"0.7\", \"9\": \"0.7\", \"10\": \"0.7\", \"11\": \"0.7\", \"12\": \"0.7\", \"13\": \"0.7\", \"14\": \"0.7\", \"15\": \"0.7\", \"16\": \"0.7\", \"17\": \"0.7\", \"18\": \"0.7\", \"19\": \"0.7\", \"20\": \"0.7\", \"21\": \"0.7\", \"22\": \"0.7\", \"23\": \"0.7\", \"24\": \"0.7\"}"); - var trends_all = JSON.parse("{\"0\": \"neutral\", \"1\": \"neutral\", \"2\": \"positive\", \"3\": \"negative\", \"4\": \"neutral\", \"5\": \"positive\", \"6\": \"positive\", \"7\": \"negative\", \"8\": \"negative\", \"9\": \"neutral\", \"10\": \"neutral\", \"11\": \"neutral\", \"12\": \"neutral\", \"13\": \"negative\", \"14\": \"negative\", \"15\": \"positive\", \"16\": \"negative\", \"17\": \"positive\", \"18\": \"negative\", \"19\": \"negative\", \"20\": \"neutral\", \"21\": \"negative\", \"22\": \"neutral\", \"23\": \"negative\", \"24\": \"neutral\"}"); - var passed_all = JSON.parse("{\"0\": true, \"1\": true, \"2\": true, \"3\": true, \"4\": true, \"5\": true, \"6\": true, \"7\": true, \"8\": false, \"9\": true, \"10\": true, \"11\": true, \"12\": true, \"13\": true, \"14\": true, \"15\": true, \"16\": false, \"17\": true, \"18\": true, \"19\": true, \"20\": true, \"21\": true, \"22\": true, \"23\": true, \"24\": true}"); + var trends_all = JSON.parse("{\"0\": \"neutral\", \"1\": \"neutral\", \"2\": \"positive\", \"3\": \"positive\", \"4\": \"negative\", \"5\": \"positive\", \"6\": \"negative\", \"7\": \"neutral\", \"8\": \"neutral\", \"9\": \"negative\", \"10\": \"neutral\", \"11\": \"negative\", \"12\": \"neutral\", \"13\": \"negative\", \"14\": \"neutral\", \"15\": \"positive\", \"16\": \"neutral\", \"17\": \"negative\", \"18\": \"negative\", \"19\": \"negative\", \"20\": \"neutral\", \"21\": \"neutral\", \"22\": \"positive\", \"23\": \"positive\", \"24\": \"neutral\"}"); + var passed_all = JSON.parse("{\"0\": true, \"1\": true, \"2\": true, \"3\": true, \"4\": true, \"5\": true, \"6\": true, \"7\": true, \"8\": true, \"9\": true, \"10\": false, \"11\": true, \"12\": true, \"13\": false, \"14\": true, \"15\": true, \"16\": true, \"17\": false, \"18\": true, \"19\": true, \"20\": true, \"21\": true, \"22\": true, \"23\": true, \"24\": true}"); var names_all = JSON.parse("{\"0\": \"Accuracy\", \"1\": \"Precision\", \"2\": \"Recall\", \"3\": \"F1 Score\", \"4\": \"AUROC\", \"5\": \"Accuracy\", \"6\": \"Precision\", \"7\": \"Recall\", \"8\": \"F1 Score\", \"9\": \"AUROC\", \"10\": \"Accuracy\", \"11\": \"Precision\", \"12\": \"Recall\", \"13\": \"F1 Score\", \"14\": \"AUROC\", \"15\": \"Accuracy\", \"16\": \"Precision\", \"17\": \"Recall\", \"18\": \"F1 Score\", \"19\": \"AUROC\", \"20\": \"Accuracy\", \"21\": \"Precision\", \"22\": \"Recall\", \"23\": \"F1 Score\", \"24\": \"AUROC\"}"); - var timestamps_all = JSON.parse("{\"0\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"1\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"2\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"3\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"4\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"5\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"6\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"7\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"8\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"9\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"10\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"11\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"12\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"13\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"14\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"15\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"16\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"17\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"18\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"19\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"20\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"21\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"22\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"23\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"], \"24\": [\"2023-11-21 17:54:19\", \"2023-11-21 17:54:19\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\", \"2023-11-21 17:54:20\"]}"); + var timestamps_all = JSON.parse("{\"0\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"1\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"2\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"3\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"4\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"5\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"6\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"7\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"8\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"9\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"10\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"11\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"12\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"13\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"14\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"15\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"16\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"17\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"18\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"19\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"20\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"21\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"22\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"23\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"], \"24\": [\"2023-11-21 18:26:04\", \"2023-11-21 18:26:04\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\", \"2023-11-21 18:26:05\"]}"); for (let i = 0; i < selection.length; i++) { // use selection to set label_slice_selection background color diff --git a/api/tutorials/synthea/los_prediction.html b/api/tutorials/synthea/los_prediction.html index 18238664c..6dc2baf55 100644 --- a/api/tutorials/synthea/los_prediction.html +++ b/api/tutorials/synthea/los_prediction.html @@ -489,7 +489,7 @@

    Import Libraries 
    -/mnt/data/poetry/pycyclops-wIzUAwxh-py3.10/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
+/mnt/data/poetry/pycyclops-mhx6UJW0-py3.10/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
   from .autonotebook import tqdm as notebook_tqdm

    @@ -681,17 +681,17 @@

    Compute length of stay (labels) 
    -2023-11-21 17:54:02,540 INFO cycquery.orm    - Database setup, ready to run queries!
-2023-11-21 17:54:07,105 INFO cycquery.orm    - Query returned successfully!
-2023-11-21 17:54:07,106 INFO cycquery.utils.profile - Finished executing function run_query in 3.245725 s
-2023-11-21 17:54:08,933 INFO cycquery.orm    - Query returned successfully!
-2023-11-21 17:54:08,935 INFO cycquery.utils.profile - Finished executing function run_query in 1.827021 s
-2023-11-21 17:54:10,172 INFO cycquery.orm    - Query returned successfully!
-2023-11-21 17:54:10,174 INFO cycquery.utils.profile - Finished executing function run_query in 0.382990 s
-2023-11-21 17:54:10,661 INFO cycquery.orm    - Query returned successfully!
-2023-11-21 17:54:10,662 INFO cycquery.utils.profile - Finished executing function run_query in 0.483415 s
-2023-11-21 17:54:10,751 INFO cycquery.orm    - Query returned successfully!
-2023-11-21 17:54:10,752 INFO cycquery.utils.profile - Finished executing function run_query in 0.088955 s
+2023-11-21 18:25:49,280 INFO cycquery.orm    - Database setup, ready to run queries!
+2023-11-21 18:25:53,933 INFO cycquery.orm    - Query returned successfully!
+2023-11-21 18:25:53,934 INFO cycquery.utils.profile - Finished executing function run_query in 3.309806 s
+2023-11-21 18:25:55,755 INFO cycquery.orm    - Query returned successfully!
+2023-11-21 18:25:55,756 INFO cycquery.utils.profile - Finished executing function run_query in 1.820639 s
+2023-11-21 18:25:56,977 INFO cycquery.orm    - Query returned successfully!
+2023-11-21 18:25:56,979 INFO cycquery.utils.profile - Finished executing function run_query in 0.361789 s
+2023-11-21 18:25:57,436 INFO cycquery.orm    - Query returned successfully!
+2023-11-21 18:25:57,438 INFO cycquery.utils.profile - Finished executing function run_query in 0.453990 s
+2023-11-21 18:25:57,545 INFO cycquery.orm    - Query returned successfully!
+2023-11-21 18:25:57,546 INFO cycquery.utils.profile - Finished executing function run_query in 0.107137 s

    @@ -778,9 +778,9 @@

    Drop NaNs based on the

    -
    - + +

    Archive

    Archive

    2023​

    diff --git a/blog/cyclops-alpha-release/index.html b/blog/cyclops-alpha-release/index.html index b9b80cfad..a96a88116 100644 --- a/blog/cyclops-alpha-release/index.html +++ b/blog/cyclops-alpha-release/index.html @@ -5,8 +5,8 @@ CyclOps Alpha Release | CyclOps - - + +

    CyclOps Alpha Release

    · One min read
    Amrit Krishnan

    Developing machine learning (ML) systems for clinical use cases is difficult. Furthermore, evaluating ML models diff --git a/blog/index.html b/blog/index.html index c65d968be..d9409d6eb 100644 --- a/blog/index.html +++ b/blog/index.html @@ -5,8 +5,8 @@ Blog | CyclOps - - + +

    · One min read
    Amrit Krishnan

    Developing machine learning (ML) systems for clinical use cases is difficult. Furthermore, evaluating ML models diff --git a/blog/tags/alpha/index.html b/blog/tags/alpha/index.html index 734449f87..19611f588 100644 --- a/blog/tags/alpha/index.html +++ b/blog/tags/alpha/index.html @@ -5,8 +5,8 @@ One post tagged with "alpha" | CyclOps - - + +

    One post tagged with "alpha"

    View All Tags

    · One min read
    Amrit Krishnan

    Developing machine learning (ML) systems for clinical use cases is difficult. Furthermore, evaluating ML models diff --git a/blog/tags/index.html b/blog/tags/index.html index 1d3ecb26e..7c1f732e6 100644 --- a/blog/tags/index.html +++ b/blog/tags/index.html @@ -5,8 +5,8 @@ Tags | CyclOps - - + +

    Tags

    diff --git a/docs/intro/index.html b/docs/intro/index.html index 882502cb0..0858bed17 100644 --- a/docs/intro/index.html +++ b/docs/intro/index.html @@ -5,8 +5,8 @@ intro | CyclOps - - + +

    intro

    Getting Started​

    diff --git a/index.html b/index.html index fc871b86d..de8749247 100644 --- a/index.html +++ b/index.html @@ -5,8 +5,8 @@ CyclOps | CyclOps - - + +

    CyclOps

    Cyclical development towards Operationalizing ML models for healthcare

    Rigorous Evaluation

    CyclOps APIs support rigorous evaluation across patient sub-populations

    Deployment and Operationalization

    By leveraging powerful open source tools, CyclOps provides a modular and extensible MLOps platform for healthcare

    Monitoring

    CyclOps supports monitoring of clinical ML models for dataset shifts

    diff --git a/markdown-page/index.html b/markdown-page/index.html index 51d826a6c..49cefc183 100644 --- a/markdown-page/index.html +++ b/markdown-page/index.html @@ -5,8 +5,8 @@ Markdown page example | CyclOps - - + +

    Markdown page example