Class FeatureValue (2.24.1) 

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

Representative value of a single feature within the cluster. .. attribute:: feature_column

The feature column name.

:type: str

Attributes

NameDescription
numerical_value google.protobuf.wrappers_pb2.DoubleValue
The numerical feature value. This is the centroid value for this feature.
categorical_value google.cloud.bigquery_v2.types.Model.ClusteringMetrics.Cluster.FeatureValue.CategoricalValue
The categorical feature value.

Inheritance

builtins.object > proto.message.Message > FeatureValue

Classes

CategoricalValue

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

Representative value of a categorical feature. .. attribute:: category_counts

Counts of all categories for the categorical feature. If there are more than ten categories, we return top ten (by count) and return one more CategoryCount with category "OTHER" and count as aggregate counts of remaining categories.

:type: Sequence[google.cloud.bigquery_v2.types.Model.ClusteringMetrics.Cluster.FeatureValue.CategoricalValue.CategoryCount]

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.