bugfinder.features.reduction

Abstract classes for feature reduction.

class bugfinder.features.reduction.AbstractFeatureSelector(dataset)

Bases: AbstractProcessing

Base class for feature selection.

execute(dry_run, *args, **kwargs)

Execute the processing. Needs to be implemented by the subclass.

Parameters

• args –

• kwargs –

abstract select_feature(*args, **kwargs) → DataFrame

• bugfinder.features.reduction.pca
  • FeatureSelector
    • FeatureSelector.select_feature()
• bugfinder.features.reduction.recursive_feature_elimination
  • FeatureSelector
    • FeatureSelector.select_feature()
• bugfinder.features.reduction.auto_encoder
  • FeatureSelector
    • FeatureSelector.select_feature()
    • FeatureSelector.train_encoder()
• bugfinder.features.reduction.select_from_model
  • FeatureSelector
    • FeatureSelector.select_feature()
• bugfinder.features.reduction.univariate_select
  • FeatureSelector
    • FeatureSelector.select_feature()
• bugfinder.features.reduction.variance_threshold
  • FeatureSelector
    • FeatureSelector.select_feature()
• bugfinder.features.reduction.sequential_feature_selector
  • FeatureSelector
    • FeatureSelector.select_feature()