LightAutoML

Contents

  • Installation Guide
  • Tutorials
    • LightAutoML Tutorials
      • Tutorial 1: Basics
      • Tutorial 2: AutoWoE (WhiteBox model for binary classification on tabular data)
      • Tutorial 3: SQL data source
      • Tutorial 4: Interpretation Tutorial (requires GPU)
      • Tutorial 5: Uplift modeling
      • Tutorial 6: Custom pipeline tutorial
      • Tutorial 7: ICE and PDP Interpretation Tutorial
      • Tutorial 8: CV preset
      • Tutorial 9: Neural Networks
      • Tutorial 10: Relational datasets (with star scheme)
      • Tutorial 11: time series
    • HypEx Tutorials
      • AA test
      • AA test multigroup split simple
      • AB test
      • Matching
      • Matching without replacement
      • Modeling Limit Distribution
      • How to do experiment via Limit Distribution? (ABn Test)
  • Kaggle kernel examples of LightAutoML usage
  • Courses, videos and papers
  • Python-API
LightAutoML
  • Tutorials
  • View page source

Tutorials

This section contains tutorials for both LightAutoML and HypEx, covering a wide range of use cases from basic model training to advanced hypothesis testing.

LightAutoML Tutorials

Core Features

  • Tutorial 1: Basics
  • Tutorial 2: AutoWoE (WhiteBox model for binary classification on tabular data)
  • Tutorial 3: SQL data source
  • Tutorial 4: Interpretation Tutorial (requires GPU)

Advanced Topics

  • Tutorial 5: Uplift modeling
  • Tutorial 6: Custom pipeline tutorial
  • Tutorial 7: ICE and PDP Interpretation Tutorial
  • Tutorial 8: CV preset
  • Tutorial 9: Neural Networks
  • Tutorial 10: Relational datasets (with star scheme)
  • Tutorial 11: time series

HypEx Tutorials

A/B and A/A Testing

  • AA test
  • AA test multigroup split simple
  • AB test

Matching

  • Matching
  • Matching without replacement

Modeling and Testing Limits

  • Modeling Limit Distribution
  • How to do experiment via Limit Distribution? (ABn Test)
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