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Robust kernel methods with outlier resistance
This module provides robust kernel approximation methods that are resistant to outliers and contamination in the data, including robust estimators, breakdown point analysis, and influence function diagnostics.
Structs§
- Breakdown
Point Analysis - Breakdown point analysis
- Influence
Function Diagnostics - Influence function diagnostics
- Robust
Kernel Config - Robust kernel configuration RobustKernelConfig
- Robust
Nystroem - Robust Nyström method
- RobustRBF
Sampler - Robust RBF kernel sampler
Enums§
- Robust
Estimator - Robust estimation method RobustEstimator
- Robust
Loss - Robust loss function RobustLoss