API Reference

This is the class and function reference of scikit-learn. Please refer to the full user guide for further details, as the class and function raw specifications may not be enough to give full guidelines on their uses. For reference on concepts repeated across the API, see glossary.

Base classes

models.base_class.SMBase(n_subdims[, …])	Base class of Subspace Method
models.base_class.KernelSMBase(n_subdims[, …])	Base class of Kernel Subspace Method
models.base_class.ConstrainedSMBase(…[, …])	Base class of Constrained Subspace Method
models.base_class.KernelCSMBase(n_subdims, …)	Base class of Kernel Constrained Subspace Method
models.base_class.MSMInterface	Prediction interface of Mutual Subspace Method

Model classes

models.SubspaceMethod(n_subdims[, …])	Mutual Subspace Method
models.MutualSubspaceMethod(n_subdims[, …])	Mutual Subspace Method
models.KernelMSM(n_subdims[, normalize, …])	Kernel Mutual Subspace Method
models.ConstrainedMSM(n_subdims, n_gds_dims)	Constrained Mutual Subspace Method
models.KernelCMSM(n_subdims, n_gds_dims[, …])	Kernel Constrained Mutual Subspace Method

Utils classes

utils.base	Mathematical utilities
utils.evaluation
utils.kernel_functions	Kernel functions