Class ClusteringMetrics (3.25.0)

ClusteringMetrics(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Evaluation metrics for clustering models.


Name Description
davies_bouldin_index google.protobuf.wrappers_pb2.DoubleValue
Davies-Bouldin index.
mean_squared_distance google.protobuf.wrappers_pb2.DoubleValue
Mean of squared distances between each sample to its cluster centroid.
clusters Sequence[]
Information for all clusters.



Cluster(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Message containing the information about one cluster.




Delete the value on the given field.

This is generally equivalent to setting a falsy value.



Return True if the messages are equal, False otherwise.



Return True if the messages are unequal, False otherwise.


__setattr__(key, value)

Set the value on the given field.

For well-known protocol buffer types which are marshalled, either the protocol buffer object or the Python equivalent is accepted.