Package mappers

source code

PyMVPA mappers.

Module Description

Various space transformations which are intended to map between two spaces, most of the time both ways, and optionally requiring training. Classifiers from the mvpa.clfs module could be considered mappers as well, but they all are supervised, and only provide ND->1D mapping, most of the time without reverse transformation.

Module Organization

The mvpa.mappers module contains the following modules:

Package Tree for mappers

Submodules

[hide private]

mvpa.mappers.array: Data mapper
mvpa.mappers.lle: Local Linear Embedding Data mapper.
mvpa.mappers.procrustean: Procrustean rotation mapper
mvpa.mappers.som: Self-organizing map (SOM) mapper.
mvpa.mappers.zscore: Simple mapper to perform zscoring

Base

mvpa.mappers.base: Data mapper
mvpa.mappers.mask: Data mapper which applies mask to the data
mvpa.mappers.metric: Classes and functions to provide sense of distances between sample points

Specialized

mvpa.mappers.boxcar: Data mapper
mvpa.mappers.ica: Data mapper
mvpa.mappers.pca: Data mapper
mvpa.mappers.samplegroup: Data mapper
mvpa.mappers.svd: Singular-value decomposition mapper
mvpa.mappers.wavelet: Wavelet mappers

Imports: debug

Home

Trees

Indices

Help