cca_zoo.linear: Linear Models

The cca_zoo.linear module includes a variety of linear CCA algorithms.

Models

linear.CCA([latent_dimensions, copy_data, ...])	A class used to fit a simple CCA model.
linear.PLS([latent_dimensions, copy_data, ...])	A class used to fit a simple PLS model.
linear.rCCA([latent_dimensions, copy_data, ...])	A class used to fit Regularised CCA (canonical ridge) model.
linear.MCCA([latent_dimensions, copy_data, ...])	A class used to fit a Regularised CCA (canonical ridge) model.
linear.GCCA([latent_dimensions, copy_data, ...])	A class used to fit GCCA model.
linear.TCCA([latent_dimensions, copy_data, ...])	A class used to fit TCCA model.
linear.MPLS([latent_dimensions, copy_data, ...])	A class used to fit a mutiview PLS model.
linear.PCACCA([latent_dimensions, ...])	Principal Component Analysis CCA
linear.SPLS([latent_dimensions, copy_data, ...])
linear.ElasticCCA([latent_dimensions, ...])
linear.SCCA_IPLS([latent_dimensions, ...])
linear.CCA_EY([latent_dimensions, ...])
linear.PLS_EY([latent_dimensions, ...])
linear.CCA_GHA([latent_dimensions, ...])
linear.PLSStochasticPower([...])
linear.SCCA_Span([latent_dimensions, ...])	Fits a Sparse _CCALoss model using SpanCCA.
linear.PRCCA([latent_dimensions, copy_data, ...])	Partially Regularized Canonical Correlation Analysis
linear.GRCCA([latent_dimensions, copy_data, ...])	Grouped Regularized Canonical Correlation Analysis
linear.PartialCCA([latent_dimensions, ...])	A class used to fit a partial CCA model.