KaleLinear Documentation

Getting Started

• Introduction
  • Main Features
• Installation
• Tutorial
  • Learn a Domain-Invariant Embedding
  • Use MIDA with Categorical Covariates
  • Train a Domain Adaptation Classifier
  • Train a Manifold-Regularized Classifier

KaleLinear API

• Transformers
  • MPCA
  • TCA
  • JDA
  • BDA
  • MIDA
  • CIFE
  • AJIVE
• Estimators
  • LapSVM
  • LapRLS
  • ARSVM
  • ARRLS
  • CoIRSVM
  • CoIRLS
  • GSDA

The API pages above are ordered following the machine learning pipeline, i.e., feature embedding transformers and predictive estimators, rather than alphabetically. kalelinear.embed and kalelinear.predict are PyKale-compatible aliases of kalelinear.transformer and kalelinear.estimator, respectively.

Project

• Read the Docs (PyKale subproject)
• GitHub repository

Indices and Tables

• Index

• Module Index

• Search Page