Install
User Guide
API
Examples
Toggle Menu
User Guide
1. Introduction
2. Data Pipeline
3. Model Train and Tune
3.1. Train and Register Sklearn Style Model
3.2. Register H2O Models
3.3. Register Arbitrary Models
3.4. Hyperparameter Optimization (Model Tune)
4. Post-hoc Explainability
5. Interpretable Models
6. Diagnostic Suite
7. Model Comparison
8. Case Studies
3.
Model Train and Tune
¶
3.1. Train and Register Sklearn Style Model
3.1.1. Train and Register Models
3.1.2. Save Fitted Models
3.1.3. Load and Register Fitted Models
3.1.4. Register Arbitrary Models and Data
3.1.5. Run Diagnostic Tests
3.1.6. Examples
3.2. Register H2O Models
3.2.1. Train and Register Models
3.2.2. Save Fitted Models
3.2.3. Load and Register Fitted Models
3.2.4. Run Diagnostic Tests
3.2.5. Examples
3.3. Register Arbitrary Models
3.3.1. Train and Register Models
3.3.2. Define Wrapper Predict Functions
3.3.3. Register the predict Functions
3.3.4. Run Diagnostic Tests
3.3.5. Examples
3.4. Hyperparameter Optimization (Model Tune)
3.4.1. Methodology
3.4.2. Usage
3.4.3. Examples