Metadata-Version: 2.1
Name: EasyMLSelector
Version: 0.0.3
Summary: Training and Testing for a large number of ML models in one go.
Author-email: wmjg <w.michaelgardner@gmail.com>
Project-URL: Homepage, https://github.com/wmjg-alt/EasyMLSelector
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE

** EasyMLSelector
    A class for training and testing many models found in sklearn.
    Training and Testing for a large number of ML models in one go.

*** Don't know what kind of model is going to best suit your data?
    from EasyMLSelector import EasyMLSelector

*** It's as easy as taking your X and y data and using these 2 commands
    M = EasyMLSelector(type_filter="regressor", Xy_tuple=(X,y))
    M.model_loop()

**** Then toy around with the best performing model:
    M.test_best()
    M.best_model
