Modeling Feature Importance Methods Registry
- FI Extractors
Provides registry functionality for Feature Importance extractors classes. For implementation details see
EligibleFIExtractors
model_based
- Description
Simply fits models using a given dataset and extracts inner feature importance from the fitted model, other “coef_” or “feature_importances” attributes. For implementation details see
ModelBasedImportanceExtractor
model_interpret
- Description
Feature importance method based on model explainability. For implementation details see
ModelInterpretImportanceExtractor
permutation
- Description
Utilize eli5.sklearn.PermutationImportance to calculate feature importance. See https://eli5.readthedocs.io Note on target_metric value: should be a loss function with ability to minimize. For implementation details see
PermutationImportanceEli5Extractor
permutation