Expand description
Adaptive feature dimension selection for kernel approximations
This module provides methods to automatically determine the optimal number of features for kernel approximation methods based on approximation quality metrics.
Structs§
- Adaptive
Dimension Config - Configuration for adaptive dimension selection AdaptiveDimensionConfig
- AdaptiveRBF
Sampler - Adaptive RBF sampler with automatic dimension selection AdaptiveRBFSampler
- Dimension
Selection Result - Results from adaptive dimension selection DimensionSelectionResult
- Fitted
AdaptiveRBF Sampler - Fitted adaptive RBF sampler
Enums§
- Quality
Metric - Quality metrics for approximation assessment QualityMetric
- Selection
Strategy - Selection strategy for adaptive dimension selection SelectionStrategy