Expand description
Gradient-based kernel learning for automatic parameter optimization
This module provides gradient-based optimization methods for learning optimal kernel parameters, including bandwidth selection, kernel combination weights, and hyperparameter tuning using automatic differentiation.
Structs§
- Gradient
Config - Gradient-based optimization configuration GradientConfig
- Gradient
Kernel Learner - Gradient-based kernel parameter learner
- Gradient
Multi Kernel Learner - Gradient-based multi-kernel learning
- Gradient
Result - Gradient computation result GradientResult
Enums§
- Gradient
Optimizer - Gradient-based optimization algorithms GradientOptimizer
- Kernel
Objective - Objective function for kernel learning KernelObjective