EasyMLSelector 0.1.0

Training and Testing for a set of scikit-learn models in one go.

EasyMLSelector

    pip install 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.
* NOTE: Works best with type_filter="regressor"
* Best Used with a small dataset to begin an investigation into the best models for your data.

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