cvextend extends the functionality offered by the Model Selection module of scikit-learn:
cvextend.generate_param_grid helps with permutating models in steps and their hyperparameters in your sklearn.pipeline. See the example here
cvextend.ScoreGrid helps you keep track of the scores you want to use in cross-validations with different optimisation objectives in parallel. See the example here and also cvextend.EvaluationGrid.
cvextend.EvaluationGrid
To install the cvextend library use pip:
pip install cvextend
or install directly from source:
python setup.py install
[WIP]
In case of questions or comments, write an email:
ldanov@users.noreply.github.com