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Class ClusteringMetrics (3.41.0)
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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
Cluster ( mapping = None , * , ignore_unknown_fields = False , ** kwargs )
Message containing the information about one cluster.
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Last updated 2026-05-07 UTC.
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[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2026-05-07 UTC."],[],[]]