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3.46.0.6-1-3.0
  • About Sparkling Water
  • Typical Use Case
  • Sparkling Water Requirements
  • Installing and Starting
  • Design
  • Configuration
  • Deployment
  • Machine Learning
    • Train AutoML Model in Sparkling Water
    • Train GAM Model in Sparkling Water
    • Train GLM 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
    • Train Isolation Forest Model in Sparkling Water
    • Train Extended Isolation Forest Model in Sparkling Water
    • Train CoxPH Model in Sparkling Water
    • Train Deep Learning Model in Sparkling Water
    • Train RuleFit Model in Sparkling Water
    • Train Stacked Ensemble Model in Sparkling Water
    • Autoencoder in Sparkling Water
    • Target Encoding in Sparkling Water
    • Train Word2Vec Model in Sparkling Water
    • Principal Component Analysis (PCA) in Sparkling Water
    • Generalized Low Rank Models (GLRM) in Sparkling Water
    • Obtain SHAP values from MOJO model
    • Using H2O Binary Model in Sparkling Water
  • Metric Classes
  • Model Details
  • Algorithm Parameters
  • How to…
  • Development
  • PySparkling
  • RSparkling
  • Migration Guide
  • Frequently Asked Questions
  • Change Log
  • Change Log
H2O Sparkling Water
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  • Machine Learning
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Machine Learning¶

Algorithms

  • Train AutoML Model in Sparkling Water
  • Train GAM Model in Sparkling Water
    • Introduction
    • Example
  • Train GLM Model in Sparkling Water
    • Introduction
    • Example
  • Train DRF Model in Sparkling Water
    • Introduction
    • Example
  • Train Sparkling Water Algorithms with Grid Search
  • Train KMeans Model in Sparkling Water
    • Introduction
    • Example
  • Train XGBoost Model in Sparkling Water
    • XGBoost Memory Configuration
  • Train Isolation Forest Model in Sparkling Water
    • Train Isolation Forest with H2OGridSearch
  • Train Extended Isolation Forest Model in Sparkling Water
    • Introduction
    • Example
  • Train CoxPH Model in Sparkling Water
  • Train Deep Learning Model in Sparkling Water
    • Introduction
    • Example
  • Train RuleFit Model in Sparkling Water
  • Train Stacked Ensemble Model in Sparkling Water

Feature Estimators

  • Autoencoder in Sparkling Water
    • Prepare Sparkling Water Environment
    • Use Case 1: Feature Encoding
    • Use Case 2: Anomaly Detection
  • Target Encoding in Sparkling Water
    • Using Target Encoder
  • Train Word2Vec Model in Sparkling Water
  • Principal Component Analysis (PCA) in Sparkling Water
  • Generalized Low Rank Models (GLRM) in Sparkling Water

Uncategorized

  • Obtain SHAP values from MOJO model
    • Train model pipeline & get contributions
    • Get Contributions from Raw MOJO
  • Using H2O Binary Model in Sparkling Water
    • Train Model in Sparkling Water and Obtain Binary model
    • Utilization of Binary Model in H2O-3 API
    • Save Binary Model to File System
    • Load Existing Binary Model
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