mvpa2.measures.searchlight

Searchlight implementation for arbitrary measures and spaces

Functions

Doi(\*args, \*\*kwargs)	Perform no good and no bad
borrowkwargs(cls[, methodname, exclude])	Return a decorator which would borrow docstring for **kwargs
h5load(filename[, name])	Loads the content of an HDF5 file that has been stored by h5save().
h5save(filename, data[, name, mode, mkdir])	Stores arbitrary data in an HDF5 file.
hstack(datasets[, a, sa])	Stacks datasets horizontally (appending features).
is_datasetlike(obj)	Check if an object looks like a Dataset.
sphere_searchlight(datameasure[, radius, ...])	Creates a Searchlight to run a scalar Measure on all possible spheres of a certain size within a dataset.

Classes

BaseSearchlight(queryengine[, roi_ids, nproc])	Base class for searchlights.
ChainMapper(nodes, \*\*kwargs)	Class that amends ChainNode with a mapper-like interface.
ConditionalAttribute([enabled])	Simple container intended to conditionally store the value
Dataset(samples[, sa, fa, a])	Generic storage class for datasets with multiple attributes.
IndexQueryEngine([sorted])	Provides efficient query engine for discrete spaces.
Measure([null_dist])	A measure computed from a Dataset
ProgressBar([start_time, ...])	Simple progress bar in ASCII text
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.
defaultdict	defaultdict(default_factory[, ...]) –> dict with default factory