Expand description
Transform theory for ternary data on {-1, 0, +1}.
Provides TernaryWavelet transform, ternary Fourier features, random features approximation, kernel methods with ternary kernels, and RBF-like similarity.
Structs§
- Random
Features - Random Fourier features for kernel approximation.
- Ternary
Fourier - Ternary Fourier feature extraction.
- Ternary
Kernel - Kernel functions for ternary data.
- TernaryRBF
Similarity - RBF-like similarity measures for ternary data.
- Ternary
Wavelet - Haar-like wavelet transform adapted for ternary data.
Enums§
- Kernel
Type - Types of ternary kernels.
- Ternary
- A ternary value.