mvpa2.measures.gnbsearchlightΒΆ

An efficient implementation of searchlight for GNB.

Inheritance diagram of mvpa2.measures.gnbsearchlight

Functions

borrowkwargs(cls[, methodname, exclude]) Return a decorator which would borrow docstring for **kwargs
inds_to_coo(inds[, shape]) Dispatcher for conversion to coo
lastdim_columnsums_fancy_indexing(a, inds, out)
lastdim_columnsums_spmatrix(a, inds, out)
mean_mismatch_error(predicted, target) Computes the percentage of mismatches between some target and some predicted values.
r_helper(*args)
sphere_gnbsearchlight(gnb, generator[, ...]) Creates a GNBSearchlight to assess cross-validation

Classes

BaseSearchlight(queryengine[, roi_ids, nproc]) Base class for searchlights.
Dataset(samples[, sa, fa, a]) Generic storage class for datasets with multiple attributes.
GNBSearchlight(gnb, generator, qe[, ...]) Efficient implementation of Gaussian Naive Bayes Searchlight.
IndexQueryEngine([sorted]) Provides efficient query engine for discrete spaces.
Sphere(radius[, element_sizes, distance_func]) N-Dimensional hypersphere.
Splitter(attr[, attr_values, count, ...]) Generator node for dataset splitting.

NeuroDebian

NITRC-listed