cca-zoo
v1.10.5
Using cca-zoo
Installation
Getting Started
Mathematical Foundations
User Guide
Tutorials and Examples Gallery
Reference
Data
Deep Models
Models
Model Selection
Probabilistic Models
Developer Info
Contribute
Support
License
cca-zoo
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Welcome to cca-zoo’s documentation!
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Documentation
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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
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Index
Search Page
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