mvpa2.clfs.knnΒΆ

k-Nearest-Neighbour classifier.

Inheritance diagram of mvpa2.clfs.knn

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.

NeuroDebian

NITRC-listed