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.