Kale-Linear 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

Kale-Linear API

• Transformers
  • MPCA
  • TCA
  • JDA
  • BDA
  • MIDA
• Estimators
  • LapSVM
  • LapRLS
  • ARSVM
  • ARRLS
  • CoIRSVM
  • CoIRLS
  • GSDA
• Utilities
  • lap_norm()
  • mmd_coef()
  • centering_matrix()
  • centered_kernel_matrix()
  • hsic_grad_term()
  • kernel_fit_matrices()
  • base_init()
  • to_numpy()

Kale-Linear APIs above are ordered following the machine learning pipeline, i.e., feature embedding transformers, predictive estimators, and reusable utilities, rather than alphabetically.

Project

• GitHub repository

Indices and Tables

• Index

• Module Index

• Search Page