Tools to extend sklearn's cross-validation classes and functions
Project description
README
Description
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
Installation
To install the cvextend library use pip:
pip install cvextend
or install directly from source:
python setup.py install
Usage
[WIP]
Questions and comments
In case of questions or comments, write an email:
ldanov@users.noreply.github.com
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