skip to navigation
skip to content

Not Logged In

featureimpact 1.1.0

Compute the statistical impact of features given a scikit-learn estimator

This package 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.

featureimpact is being developed by Christian Blume. Contact Christian at for any questions or comments.

Note: In order to run the examples you’ll need scikit-learn and matplotlib installed in addition to this package and its regular dependencies.

File Type Py Version Uploaded on Size
featureimpact-1.1.0.tar.gz (md5) Source 2014-08-17 5KB
  • Downloads (All Versions):
  • 12 downloads in the last day
  • 52 downloads in the last week
  • 313 downloads in the last month