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. |
Inheritance
builtins.object > proto.message.Message > ClusteringMetricsClasses
Cluster
Cluster(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Message containing the information about one cluster.
Methods
__delattr__
__delattr__(key)
Delete the value on the given field.
This is generally equivalent to setting a falsy value.
__eq__
__eq__(other)
Return True if the messages are equal, False otherwise.
__ne__
__ne__(other)
Return True if the messages are unequal, False otherwise.
__setattr__
__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.