Class ClusteringMetrics (3.31.0)
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ClusteringMetrics(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Evaluation metrics for clustering models.

Attributes
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[google.cloud.bigquery_v2.types.Model.ClusteringMetrics.Cluster]` Information for all clusters.

Classes

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

Message containing the information about one cluster.

__delattr__(key)

Delete the value on the given field.

This is generally equivalent to setting a falsy value.

__eq__(other)

Return True if the messages are equal, False otherwise.

__ne__(other)

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.