Toggle Menu
Prev Up Next

scikit-learn 1.3.2
Other versions

Please cite us if you use the software.

# `sklearn.metrics.pairwise`.distance_metrics

sklearn.metrics.pairwise.distance_metrics()

  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_metrics dict

      Returns valid metrics for pairwise_distances.