mvpa2.measures.nnsearchlight

An efficient implementation of searchlight for M1NN.

Functions

borrowkwargs(cls[, methodname, exclude])	Return a decorator which would borrow docstring for **kwargs
one_minus_correlation(X, Y)	Return one minus the correlation matrix between the rows of two matrices.
sphere_m1nnsearchlight(knn, generator[, ...])	Creates a M1NNSearchlight to assess cross-validation classification performance of M1NN on all possible spheres of a certain size within a dataset.
squared_euclidean_distance(data1[, data2, ...])	Compute weighted euclidean distance matrix between two datasets.

Classes

IndexQueryEngine([sorted])	Provides efficient query engine for discrete spaces.
M1NNSearchlight(knn, generator, qe, \*\*kwargs)	Efficient implementation of Mean-Nearest-Neighbor Searchlight.
SimpleStatBaseSearchlight(generator, queryengine)	Base class for clf searchlights based on basic univar.
Sphere(radius[, element_sizes, distance_func])	N-Dimensional hypersphere.