Namespace AiDotNet.Preprocessing.FeatureSelection
Classes
- GenericUnivariateSelect<T>
Generic univariate feature selector with configurable mode.
- RFECV<T>
Recursive Feature Elimination with Cross-Validation to find optimal feature count.
- RFE<T>
Recursive Feature Elimination for feature selection.
- SelectFdr<T>
Selects features based on a false discovery rate test.
- SelectFpr<T>
Selects features based on a false positive rate test.
- SelectFromModel<T>
Selects features based on importance weights from an external model or scorer.
- SelectFwe<T>
Selects features based on a family-wise error rate test.
- SelectKBest<T>
Selects the K highest-scoring features according to a scoring function.
- SelectPercentile<T>
Selects features according to a percentile of the highest scores.
- SequentialFeatureSelector<T>
Sequential feature selection using forward or backward selection.
- VarianceThreshold<T>
Feature selector that removes features with variance below a threshold.
Enums
- RFEImportanceMethod
Specifies the method for computing feature importance in RFE.
- SelectFromModelThreshold
Specifies the type of threshold for SelectFromModel.
- SelectKBestScoreFunc
Scoring functions for SelectKBest.
- SequentialDirection
Specifies the direction of sequential feature selection.
- UnivariateSelectMode
Specifies the mode for GenericUnivariateSelect.