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1.1.X

Table of Contents

  • Quick Start
  • Installation
  • Getting Help
  • Datasets

API Documentation

  • Missing Data Imputation
  • Categorical Variable Encoding
  • Variable Transformation
  • Variable Discretisation
  • Outlier Handling
  • Feature Creation
  • Feature Selection
    • DropFeatures
    • DropConstantFeatures
    • DropDuplicateFeatures
    • DropCorrelatedFeatures
    • SmartCorrelatedSelection
    • SelectByShuffling
    • SelectBySingleFeaturePerformance
    • SelectByTargetMeanPerformance
    • RecursiveFeatureElimination
    • RecursiveFeatureAddition
  • Scikit-learn Wrapper

Learning Resources

  • Tutorials
  • How To
  • Books
  • Courses
  • Blogs and Videos

Contribute

  • Roadmap
  • About
  • Contributing
  • Code of Conduct
  • Governance

Releases

  • What’s new
Feature-engine
  • Docs »
  • Feature Selection

Feature Selection¶

Feature-engine’s feature selection transformers are used to drop subsets of variables. Or in other words to select subsets of variables.

../_images/selectionSummary.png

Summary of Feature-engine’s selectors main characteristics¶

  • DropFeatures
    • API Reference
    • Example
  • DropConstantFeatures
    • API Reference
    • Example
  • DropDuplicateFeatures
    • API Reference
    • Example
  • DropCorrelatedFeatures
    • API Reference
    • Example
  • SmartCorrelatedSelection
    • API Reference
    • Example
  • SelectByShuffling
    • API Reference
    • Example
  • SelectBySingleFeaturePerformance
    • API Reference
    • Example
  • SelectByTargetMeanPerformance
    • API Reference
    • Example
  • RecursiveFeatureElimination
    • API Reference
    • Example
  • RecursiveFeatureAddition
    • API Reference
    • Example
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