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. |