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3.30.0.7-1-3.0
  • About Sparkling Water
  • Typical Use Case
  • Sparkling Water Requirements
  • Installing and Starting
  • Design
  • Configuration
  • Deployment
  • Machine Learning
    • Train AutoML Model in Sparkling Water
    • Train DRF Model in Sparkling Water
    • Train Sparkling Water Algorithms with Grid Search
    • Train KMeans Model in Sparkling Water
    • Train XGBoost Model in Sparkling Water
    • Target Encoding in Sparkling Water
    • Obtain SHAP values from MOJO model
  • How to…
  • Development
  • PySparkling
  • RSparkling
  • Migration Guide
  • Frequently Asked Questions
  • Change Log
H2O Sparkling Water
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  • Machine Learning
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Machine Learning¶

Estimators

  • Train AutoML Model in Sparkling Water
    • Enabling XGBoost Models when Running Sparkling Water in a Distributed Environment (YARN)
  • Train DRF Model in Sparkling Water
  • Train Sparkling Water Algorithms with Grid Search
  • Train KMeans Model in Sparkling Water
    • H2O KMeans Parameters
  • Train XGBoost Model in Sparkling Water
    • XGBoost Memory Configuration

Transformers

  • Target Encoding in Sparkling Water
    • Parameters
    • Using Target Encoder

Uncategorized

  • Obtain SHAP values from MOJO model
    • Train model pipeline & get contributions
    • Get Contributions from Raw MOJO
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