Console

Class ClusteringMetrics (3.33.0)
Stay organized with collections Save and categorize content based on your preferences.

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.

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.

Last updated 2025-05-21 UTC.