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QUICKSTART

  • Getting Started

ILLUSTRATIONS

  • Cheatsheet
  • Kaggle & UCI Experiments
  • Case Studies
    • Model Compression
    • Data Valuation
    • Model-Free Feature Selection
    • Better Fraud & Attack Detection

THEORETICAL FOUNDATION

  • Memoryless Observations
  • Memoryful Observations

PYTHON CODE DOCUMENTATION

  • Data Valuation
  • Model-Free Variable Selection
  • Model Compression
  • Early Termination
  • Model Explanation
  • Model Improvability

MISCELLANEOUS

  • Your Data
  • DataFrame Extension Deep Dive

OTHER LANGUAGES

  • RESTful API

INDEX

  • Indices and tables
KXY (Lean AutoML, As A Service)
  • »
  • Case Studies
  • Edit on GitHub

Case Studies¶

On this page we illustrate what KxY can do for you.

Model Compression¶

  • LightGBM, XGBoost or Random Forest: Same Performance With 80% Fewer Features

Data Valuation¶

  • The KXY Data Valuation Function Works (Regression)

  • The KXY Data Valuation Function Works (Classification)

Model-Free Feature Selection¶

  • Automatically Pruning Redundant Features With KXY

  • Detecting Features That Are Only Useful In Conjunction With Others

Better Fraud & Attack Detection¶

  • Better Solving Heavily Unbalanced Classification Problems With KXY

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