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Regularized Ensemble Methods
This module provides ensemble methods with L1/L2 regularization for ensemble weights, dropout techniques for robustness, and advanced weight optimization strategies.
Structs§
- Dropout
Ensemble - Dropout ensemble for robustness training
- Optimizer
State - State for optimization algorithms
- Regularization
Step - Information about each regularization step
- Regularized
Ensemble Classifier - Regularized ensemble classifier with L1/L2 regularization
- Regularized
Ensemble Config - Configuration for regularized ensemble methods
- Regularized
Ensemble Config Builder - Regularized
Ensemble Regressor - Regularized ensemble regressor with L1/L2 regularization
- Regularized
Ensemble Regressor Builder
Enums§
- Weight
Optimizer - Weight optimization algorithms for ensemble weights