Expand description
Structured orthogonal random features for efficient kernel approximation
This module implements structured random feature methods that use structured random matrices (like Hadamard matrices) to reduce computational complexity while maintaining approximation quality. Also includes quasi-random and low-discrepancy sequence methods for improved feature distribution.
Structs§
- Fast
Walsh Hadamard Transform - Fast Walsh-Hadamard Transform for efficient structured features
- LowDiscrepancy
Sequences - Low-discrepancy sequence generators for quasi-random features
- StructuredRFF
Hadamard - Structured Random Features using Fast Walsh-Hadamard Transform
- Structured
Random Features - Structured orthogonal random features
Enums§
- Quasi
Random Sequence - Type of quasi-random sequence to use for feature generation QuasiRandomSequence
- Structured
Matrix - Type of structured matrix to use StructuredMatrix