Multivariate Pattern Analysis in Python

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# mvpa2.measures.nnsearchlight

An efficient implementation of searchlight for M1NN.

Functions

`borrowkwargs`(cls[, methodname, exclude]) | Return a decorator which would borrow docstring for `**kwargs` :Parameters: methodname : None or str Name of the method from which to borrow.
`sphere_m1nnsearchlight`(gnb, 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, qe[, ...]) | Base class for clf searchlights based on basic univar.
`Sphere`(radius[, element_sizes, distance_func]) | N-Dimensional hypersphere.

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