Compute the statistical impact of features given a scikit-learn estimator
featureimpact let’s you compute the statistical impact of features given a scikit-learn estimator. The computation is based on the mean variation of the difference between quantile and original predictions. The impact is reliable for regressors and binary classifiers.
Currently, all features must consist of pure-numerical, non-categorical values.
Note: In order to run the examples you’ll need scikit-learn and matplotlib installed in addition to this package and its regular dependencies.
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