Data Science Toolkit (DST) is a Python library that helps implement data science related project with ease.
from data_science_toolkit.dataframe import DataFrame
from data_science_toolkit.model import Model
data = DataFrame()
data.load_dataset('iris')
y = data.get_column('target')
data.drop_column('target')
# decision tree model
model = Model(data_x=data.get_dataframe(), data_y=y, model_type='dt', training_percent=0.8)
# train the model
model.train()
# get all classification evaluation metrics
model.report()
#get the cross validation
model.cross_validation(5)More information can be found on the DST documentation site.
Contrubution and suggestions are welcome via GitHub Pull Requests.
We're actively enhacing the repo with new algorithms.