mvpa2.clfs.knnΒΆ
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([space]) |
Abstract classifier class to be inherited by all classifiers |
ConditionalAttribute([enabled]) |
Simple container intended to conditionally store the value |
Dataset(samples[, sa, fa, a]) |
Generic storage class for datasets with multiple attributes. |
kNN([k, dfx, voting]) |
k-Nearest-Neighbour classifier. |
