An efficient implementation of searchlight for M1NN.
Functions
borrowkwargs(cls[, methodname, exclude]) | Return a decorator which would borrow docstring for **kwargs |
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. |