To provide the most recent news and documentation www.pymvpa.org reflects the development 2.0 series (renamed 0.6 series) of PyMVPA. If you are interested in the documentation of the previous stable 0.4 series of PyMVPA, please visit v04.pymvpa.org.

mvpa2.measures.searchlightΒΆ

Implementation of the Searchlight algorithm

Inheritance diagram of mvpa2.measures.searchlight

Functions

borrowkwargs(cls[, methodname, exclude]) Return a decorator which would borrow docstring for **kwargs
hstack(datasets) Stacks datasets horizontally (appending features).
sphere_searchlight(datameasure[, radius, ...]) Creates a Searchlight to run a scalar Measure on

Classes

BaseSearchlight(queryengine[, roi_ids, nproc]) Base class for searchlights.
ConditionalAttribute([enabled]) Simple container intended to conditionally store the value
IndexQueryEngine([sorted]) Provides efficient query engine for discrete spaces.
Measure([null_dist]) A measure computed from a Dataset
Searchlight(datameasure, queryengine[, ...]) The implementation of a generic searchlight measure.
Sphere(radius[, element_sizes, distance_func]) N-Dimensional hypersphere.
StaticFeatureSelection(slicearg[, dshape, ...]) Feature selection by static slicing argument.

NeuroDebian

NITRC-listed