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
    • simple_simulated_data()
  • Deep
    • NumpyDataset
    • check_dataset()
    • get_dataloaders()
• Deep Models
  • Models
    • DCCA
    • DCCAE
    • DCCA_NOI
    • DCCA_SDL
    • DVCCA
    • BarlowTwins
    • DTCCA
    • DCCA_EigenGame
    • SplitAE
  • Objectives
    • MCCA
    • GCCA
    • CCA
    • TCCA
  • Callbacks
    • CorrelationCallback
    • GenerativeCallback
  • Architectures
    • Encoder
    • Decoder
    • CNNEncoder
    • CNNDecoder
    • LinearEncoder
    • LinearDecoder
• Models
  • GCCA
    • GCCA.fit()
    • GCCA.fit_transform()
    • GCCA.get_factor_loadings()
    • GCCA.get_params()
    • GCCA.pairwise_correlations()
    • GCCA.score()
    • GCCA.set_params()
    • GCCA.transform()
  • KGCCA
    • KGCCA.transform()
    • KGCCA.fit()
    • KGCCA.fit_transform()
    • KGCCA.get_factor_loadings()
    • KGCCA.get_params()
    • KGCCA.pairwise_correlations()
    • KGCCA.score()
    • KGCCA.set_params()
  • PLS_ALS
    • PLS_ALS.fit()
    • PLS_ALS.fit_transform()
    • PLS_ALS.get_factor_loadings()
    • PLS_ALS.get_params()
    • PLS_ALS.pairwise_correlations()
    • PLS_ALS.score()
    • PLS_ALS.set_params()
    • PLS_ALS.transform()
  • SCCA_PMD
    • SCCA_PMD.fit()
    • SCCA_PMD.fit_transform()
    • SCCA_PMD.get_factor_loadings()
    • SCCA_PMD.get_params()
    • SCCA_PMD.pairwise_correlations()
    • SCCA_PMD.score()
    • SCCA_PMD.set_params()
    • SCCA_PMD.transform()
  • ElasticCCA
    • ElasticCCA.fit()
    • ElasticCCA.fit_transform()
    • ElasticCCA.get_factor_loadings()
    • ElasticCCA.get_params()
    • ElasticCCA.pairwise_correlations()
    • ElasticCCA.score()
    • ElasticCCA.set_params()
    • ElasticCCA.transform()
  • SCCA_Parkhomenko
    • SCCA_Parkhomenko.fit()
    • SCCA_Parkhomenko.fit_transform()
    • SCCA_Parkhomenko.get_factor_loadings()
    • SCCA_Parkhomenko.get_params()
    • SCCA_Parkhomenko.pairwise_correlations()
    • SCCA_Parkhomenko.score()
    • SCCA_Parkhomenko.set_params()
    • SCCA_Parkhomenko.transform()
  • SCCA_IPLS
    • SCCA_IPLS.fit()
    • SCCA_IPLS.fit_transform()
    • SCCA_IPLS.get_factor_loadings()
    • SCCA_IPLS.get_params()
    • SCCA_IPLS.pairwise_correlations()
    • SCCA_IPLS.score()
    • SCCA_IPLS.set_params()
    • SCCA_IPLS.transform()
  • SCCA_ADMM
    • SCCA_ADMM.fit()
    • SCCA_ADMM.fit_transform()
    • SCCA_ADMM.get_factor_loadings()
    • SCCA_ADMM.get_params()
    • SCCA_ADMM.pairwise_correlations()
    • SCCA_ADMM.score()
    • SCCA_ADMM.set_params()
    • SCCA_ADMM.transform()
  • SCCA_Span
    • SCCA_Span.fit()
    • SCCA_Span.fit_transform()
    • SCCA_Span.get_factor_loadings()
    • SCCA_Span.get_params()
    • SCCA_Span.pairwise_correlations()
    • SCCA_Span.score()
    • SCCA_Span.set_params()
    • SCCA_Span.transform()
  • SWCCA
    • SWCCA.fit()
    • SWCCA.fit_transform()
    • SWCCA.get_factor_loadings()
    • SWCCA.get_params()
    • SWCCA.pairwise_correlations()
    • SWCCA.score()
    • SWCCA.set_params()
    • SWCCA.transform()
  • MCCA
    • MCCA.fit()
    • MCCA.fit_transform()
    • MCCA.get_factor_loadings()
    • MCCA.get_params()
    • MCCA.pairwise_correlations()
    • MCCA.score()
    • MCCA.set_params()
    • MCCA.transform()
  • KCCA
    • KCCA.transform()
    • KCCA.fit()
    • KCCA.fit_transform()
    • KCCA.get_factor_loadings()
    • KCCA.get_params()
    • KCCA.pairwise_correlations()
    • KCCA.score()
    • KCCA.set_params()
  • NCCA
    • NCCA.fit()
    • NCCA.transform()
    • NCCA.fit_transform()
    • NCCA.get_factor_loadings()
    • NCCA.get_params()
    • NCCA.pairwise_correlations()
    • NCCA.score()
    • NCCA.set_params()
  • PartialCCA
    • PartialCCA.fit()
    • PartialCCA.transform()
    • PartialCCA.fit_transform()
    • PartialCCA.get_factor_loadings()
    • PartialCCA.get_params()
    • PartialCCA.pairwise_correlations()
    • PartialCCA.score()
    • PartialCCA.set_params()
  • rCCA
    • rCCA.fit()
    • rCCA.fit_transform()
    • rCCA.get_factor_loadings()
    • rCCA.get_params()
    • rCCA.pairwise_correlations()
    • rCCA.score()
    • rCCA.set_params()
    • rCCA.transform()
  • CCA
    • CCA.fit()
    • CCA.fit_transform()
    • CCA.get_factor_loadings()
    • CCA.get_params()
    • CCA.pairwise_correlations()
    • CCA.score()
    • CCA.set_params()
    • CCA.transform()
  • PLS
    • PLS.fit()
    • PLS.fit_transform()
    • PLS.get_factor_loadings()
    • PLS.get_params()
    • PLS.pairwise_correlations()
    • PLS.score()
    • PLS.set_params()
    • PLS.transform()
  • TCCA
    • TCCA.fit()
    • TCCA.correlations()
    • TCCA.score()
    • TCCA.fit_transform()
    • TCCA.get_factor_loadings()
    • TCCA.get_params()
    • TCCA.pairwise_correlations()
    • TCCA.set_params()
    • TCCA.transform()
  • KTCCA
    • KTCCA.transform()
    • KTCCA.correlations()
    • KTCCA.fit()
    • KTCCA.fit_transform()
    • KTCCA.get_factor_loadings()
    • KTCCA.get_params()
    • KTCCA.pairwise_correlations()
    • KTCCA.score()
    • KTCCA.set_params()
  • PRCCA
    • PRCCA.fit()
    • PRCCA.fit_transform()
    • PRCCA.get_factor_loadings()
    • PRCCA.get_params()
    • PRCCA.pairwise_correlations()
    • PRCCA.score()
    • PRCCA.set_params()
    • PRCCA.transform()
  • GRCCA
    • GRCCA.fit()
    • GRCCA.fit_transform()
    • GRCCA.get_factor_loadings()
    • GRCCA.get_params()
    • GRCCA.pairwise_correlations()
    • GRCCA.score()
    • GRCCA.set_params()
    • GRCCA.transform()
• Stochastic Models
  • IncrementalPLS
    • IncrementalPLS.fit()
    • IncrementalPLS.fit_transform()
    • IncrementalPLS.get_factor_loadings()
    • IncrementalPLS.get_params()
    • IncrementalPLS.pairwise_correlations()
    • IncrementalPLS.score()
    • IncrementalPLS.set_params()
    • IncrementalPLS.transform()
  • PLSStochasticPower
    • PLSStochasticPower.fit()
    • PLSStochasticPower.fit_transform()
    • PLSStochasticPower.get_factor_loadings()
    • PLSStochasticPower.get_params()
    • PLSStochasticPower.pairwise_correlations()
    • PLSStochasticPower.score()
    • PLSStochasticPower.set_params()
    • PLSStochasticPower.transform()
  • PLSGHAGEP
    • PLSGHAGEP.fit()
    • PLSGHAGEP.fit_transform()
    • PLSGHAGEP.get_factor_loadings()
    • PLSGHAGEP.get_params()
    • PLSGHAGEP.pairwise_correlations()
    • PLSGHAGEP.score()
    • PLSGHAGEP.set_params()
    • PLSGHAGEP.transform()
  • CCAGHAGEP
    • CCAGHAGEP.fit()
    • CCAGHAGEP.fit_transform()
    • CCAGHAGEP.get_factor_loadings()
    • CCAGHAGEP.get_params()
    • CCAGHAGEP.pairwise_correlations()
    • CCAGHAGEP.score()
    • CCAGHAGEP.set_params()
    • CCAGHAGEP.transform()
  • RCCAGHAGEP
    • RCCAGHAGEP.fit()
    • RCCAGHAGEP.fit_transform()
    • RCCAGHAGEP.get_factor_loadings()
    • RCCAGHAGEP.get_params()
    • RCCAGHAGEP.pairwise_correlations()
    • RCCAGHAGEP.score()
    • RCCAGHAGEP.set_params()
    • RCCAGHAGEP.transform()
  • PLSEigenGame
    • PLSEigenGame.fit()
    • PLSEigenGame.fit_transform()
    • PLSEigenGame.get_factor_loadings()
    • PLSEigenGame.get_params()
    • PLSEigenGame.pairwise_correlations()
    • PLSEigenGame.score()
    • PLSEigenGame.set_params()
    • PLSEigenGame.transform()
  • CCAEigenGame
    • CCAEigenGame.fit()
    • CCAEigenGame.fit_transform()
    • CCAEigenGame.get_factor_loadings()
    • CCAEigenGame.get_params()
    • CCAEigenGame.pairwise_correlations()
    • CCAEigenGame.score()
    • CCAEigenGame.set_params()
    • CCAEigenGame.transform()
  • RCCAEigenGame
    • RCCAEigenGame.fit()
    • RCCAEigenGame.fit_transform()
    • RCCAEigenGame.get_factor_loadings()
    • RCCAEigenGame.get_params()
    • RCCAEigenGame.pairwise_correlations()
    • RCCAEigenGame.score()
    • RCCAEigenGame.set_params()
    • RCCAEigenGame.transform()
• Probabilistic Models
  • ProbabilisticCCA
    • ProbabilisticCCA.fit()
    • ProbabilisticCCA.transform()
    • ProbabilisticCCA.fit_transform()
    • ProbabilisticCCA.get_factor_loadings()
    • ProbabilisticCCA.get_params()
    • ProbabilisticCCA.pairwise_correlations()
    • ProbabilisticCCA.score()
    • ProbabilisticCCA.set_params()
• Model Selection
  • GridSearchCV
    • GridSearchCV.fit()
  • RandomizedSearchCV
    • RandomizedSearchCV.fit()
  • cross_validate()
  • learning_curve()
  • permutation_test_score()

Developer Info

• Contribute
• Support
• License

Indices and tables

• Index

• Search Page