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Training and Testing for a large number of ML models in one go.

Project description

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

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