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mappers.pca

Module: mappers.pca

Inheritance diagram for mvpa.mappers.pca:

Data mapper

PCAMapper

class mvpa.mappers.pca.PCAMapper(transpose=False, **kwargs)

Bases: mvpa.mappers.base.ProjectionMapper

Mapper to project data onto PCA components estimated from some dataset.

After the mapper has been instantiated, it has to be train first. The PCA mapper only handles 2D data matrices.

See also

Please refer to the documentation of the base class for more information:

ProjectionMapper

Initialize instance of PCAMapper

Parameters:

• selector (None | list) – Which components (i.e. columns of the projection matrix) should be used for mapping. If selector is None all components are used. If a list is provided, all list elements are treated as component ids and the respective components are selected (all others are discarded).
• demean (bool) – Either data should be demeaned while computing projections and applied back while doing reverse()

var

Variances per component