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mvpa.clfs.knn

k-Nearest-Neighbour classifier.

Functions

accepts_dataset_as_samples(fx)	Decorator to extract samples from Datasets.
indent_doc(v)	Given a value returns a string where each line is indented
squared_euclidean_distance(data1[, data2, ...])	Compute weighted euclidean distance matrix between two datasets.

Classes

Classifier(**kwargs[, space])	Abstract classifier class to be inherited by all classifiers ..
ConditionalAttribute(*args, **kwargs[, enabled])	Simple container intended to conditionally store the value
Dataset(samples[, sa, fa, a])	Generic storage class for datasets with multiple attributes.
kNN(**kwargs[, k, dfx, voting])	k-Nearest-Neighbour classifier.