distance_metrics (original) (raw)
- API Reference
- sklearn.metrics
- distance_metrics
sklearn.metrics.pairwise.distance_metrics()[source]#
Valid metrics for pairwise_distances.
This function simply returns the valid pairwise distance metrics. It exists to allow for a description of the mapping for each of the valid strings.
The valid distance metrics, and the function they map to, are:
| metric | Function |
|---|---|
| ‘cityblock’ | metrics.pairwise.manhattan_distances |
| ‘cosine’ | metrics.pairwise.cosine_distances |
| ‘euclidean’ | metrics.pairwise.euclidean_distances |
| ‘haversine’ | metrics.pairwise.haversine_distances |
| ‘l1’ | metrics.pairwise.manhattan_distances |
| ‘l2’ | metrics.pairwise.euclidean_distances |
| ‘manhattan’ | metrics.pairwise.manhattan_distances |
| ‘nan_euclidean’ | metrics.pairwise.nan_euclidean_distances |
Read more in the User Guide.
Returns:
distance_metricsdict
Returns valid metrics for pairwise_distances.