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Adaptive bandwidth RBF kernel approximation methods
This module implements RBF kernel approximation with automatic bandwidth selection based on data characteristics. The bandwidth (gamma) parameter is optimized using various strategies including cross-validation, maximum likelihood, and heuristic methods.
Structs§
- Adaptive
BandwidthRBF Sampler - Adaptive bandwidth RBF sampler with automatic gamma selection
Enums§
- Bandwidth
Selection Strategy - Bandwidth selection strategy for adaptive RBF BandwidthSelectionStrategy
- Objective
Function - Objective function for bandwidth optimization ObjectiveFunction