Responsible AI Mitigations

Overview

  • Installation guide
  • Getting Started
  • How this library works with the Responsible AI Toolbox
  • API reference
  • Gallery

Modules

  • DataProcessing
    • Structure
    • API
    • Examples
      • Case Studies
      • Tutorials
        • Encoding Examples
        • Data Scaling
        • BasicImputer Example
        • IterativeDataImputer Example
        • KNNDataImputer Example
        • SeqFeatSelection Example
        • CatBoostSelection Example
        • Checking Correlations Between Variables - A Comprehensive Guide
        • Rebalance Class (imblearn)
        • Synthesizer Class (SDV)
    • scikit-learn’s Pipeline Support
  • DataBalanceAnalysis
  • Cohort
  • Utils
Responsible AI Mitigations
  • DataProcessing
  • Tutorials
  • Edit on GitHub

Tutorials

Here is a set of tutorial notebooks that aim to explain how to use each one of the mitigation methods offered in the dataprocessing module.

Encoding Examples
Data Scaling
BasicImputer Example
IterativeDataImputer Example
KNNDataImputer Example
SeqFeatSelection Example
CatBoostSelection Example
Checking Correlations Between Variables - A Comprehensive Guide
Rebalance Class (imblearn)
Synthesizer Class (SDV)
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