This content refers to the previous stable release of PyMVPA. Please visit www.pymvpa.org for the most recent version of PyMVPA and its documentation.

mappers.svd

Module: mappers.svd

Inheritance diagram for mvpa.mappers.svd:

Singular-value decomposition mapper

SVDMapper

class mvpa.mappers.svd.SVDMapper(**kwargs)

Bases: mvpa.mappers.base.ProjectionMapper

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

See also

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

ProjectionMapper

Initialize the SVDMapper

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()

Note, that for the ‘selector’ argument this class also supports passing a ElementSelector instance, which will be used to determine the to be selected features, based on the singular values of each component.

selectOut(outIds)

Choose a subset of SVD components (and remove all others).

sv

Singular values