Module time_series_kernels 

Time series kernel approximations

This module provides kernel approximation methods specifically designed for time series data, including Dynamic Time Warping (DTW), autoregressive kernels, spectral kernels, and other time-series specific kernel methods.

Structs

AutoregressiveKernelApproximation

Autoregressive kernel approximation

DTWConfig

DTW distance computation configuration DTWConfig

DTWKernelApproximation

Dynamic Time Warping kernel approximation

GlobalAlignmentKernelApproximation

Global Alignment Kernel (GAK) approximation

SpectralKernelApproximation

Spectral kernel approximation for time series

TimeSeriesKernelConfig

Time series kernel configuration TimeSeriesKernelConfig

Enums

DTWDistanceMetric

Distance metrics for DTW DTWDistanceMetric

DTWStepPattern

DTW step patterns DTWStepPattern

DTWWindowType

DTW window constraint types DTWWindowType

TimeSeriesKernelType

Time series kernel type TimeSeriesKernelType