discriminant_analysis#

This page gives an overview of all public discrimintools discriminant analysis methods.

CANDISC([n_components, classes, warn_message])

Canonical Discriminant Analysis (CANDISC)

CPLS([n_components, scale, classes, ...])

Partial Least Squares for Classification (CPLS)

DiCA([n_components, classes])

Discriminant Correspondence Analysis (DiCA)

DISCRIM([method, priors, classes, ...])

Discriminant Analysis (DISCRIM)

GFA([n_components])

General Factor Analysis (GFA)

GFALDA([n_components, priors, classes])

General Factor Analysis Linear Discriminant Analysis (GFALDA)

MDA([n_components, priors, classes])

Mixed Discriminant Analysis (MDA)

MPCA([n_components])

Mixed Principal Components Analysis (MPCA)

PLSDA([n_components, scale, classes, ...])

Partial Least Squares Discriminant Analysis (PLSDA)

PLSLDA([n_components, scale, priors, ...])

Partial Least Squares Linear Discriminant Analysis (PLSLDA)

PLSLOGIT([n_components, scale, classes, ...])

Partial Least Squares Logistic Regression (PLSLOGIT)

STEPDISC([method, alpha, lambda_init, verbose])

Stepwise Discriminant Analysis (STEPDISC)

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