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
• 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
• Train Isolation Forest Model in Sparkling Water
  • Train Isolation Forest with H2OGridSearch
• 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

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