Welcome to cca-zoo’s documentation!

Documentation

Using cca-zoo

• Installation
• Getting Started
• Mathematical Foundations
• User Guide
• Tutorials and Examples Gallery

Reference

• Data
  • Simulated Data
  • Toy Data
  • Utils
• Deep Models
  • DCCA
  • DCCA by Non-Linear Orthogonal Iterations
  • Deep Canonically Correlated Autoencoders
  • Deep Tensor CCA
  • Deep Variational CCA
  • Split Autoencoders
  • CCALightning Module for training with pytorch-lightning
  • Deep Objectives
  • Model Architectures
• Models
  • Regularized Canonical Correlation Analysis and Partial Least Squares
    • Canonical Correlation Analysis
    • Partial Least Squares
    • Ridge Regularized Canonical Correlation Analysis
  • GCCA and KGCCA
    • Generalized (MAXVAR) Canonical Correlation Analysis
    • Kernel Generalized (MAXVAR) Canonical Correlation Analysis
  • MCCA and KCCA
    • Multiset (SUMCOR) Canonical Correlation Analysis
    • Kernel Multiset (SUMCOR) Canonical Correlation Analysis
  • Tensor Canonical Correlation Analysis
    • Tensor Canonical Correlation Analysis
    • Kernel Tensor Canonical Correlation Analysis
  • More Complex Regularisation using Iterative Models
    • Normal CCA and PLS by alternating least squares
      • CCA by Alternating Least Squares
      • PLS by Alternating Least Squares
    • Sparsity Inducing Models
      • Penalized Matrix Decomposition (Sparse PLS)
      • Sparse CCA by iterative lasso regression
      • Elastic CCA by MAXVAR
      • Span CCA
      • Parkhomenko (penalized) CCA
      • Sparse CCA by ADMM
  • Miscellaneous
    • Nonparametric CCA
    • Partial CCA
    • Sparse Weighted CCA
  • Base Class
• Model Selection
  • GridSearchCV
  • RandomizedSearchCV
• Probabilistic Models
  • Variational CCA

Developer Info

• Contribute
• Support
• License

Indices and tables

• Index
• Search Page