Class Feature (1.90.0) 

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

Feature Metadata information. For example, color is a feature that describes an apple.

Attributes
Name Description
name str
Immutable. Name of the Feature. Format: projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature} projects/{project}/locations/{location}/featureGroups/{feature_group}/features/{feature} The last part feature is assigned by the client. The feature can be up to 64 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscore(_), and ASCII digits 0-9 starting with a letter. The value will be unique given an entity type.
description str
Description of the Feature.
value_type google.cloud.aiplatform_v1beta1.types.Feature.ValueType
Immutable. Only applicable for Vertex AI Feature Store (Legacy). Type of Feature value.
create_time google.protobuf.timestamp_pb2.Timestamp
Output only. Only applicable for Vertex AI Feature Store (Legacy). Timestamp when this EntityType was created.
update_time google.protobuf.timestamp_pb2.Timestamp
Output only. Only applicable for Vertex AI Feature Store (Legacy). Timestamp when this EntityType was most recently updated.
labels MutableMapping[str, str]
Optional. The labels with user-defined metadata to organize your Features. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information on and examples of labels. No more than 64 user labels can be associated with one Feature (System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
etag str
Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
monitoring_config google.cloud.aiplatform_v1beta1.types.FeaturestoreMonitoringConfig
Optional. Only applicable for Vertex AI Feature Store (Legacy). Deprecated: The custom monitoring configuration for this Feature, if not set, use the monitoring_config defined for the EntityType this Feature belongs to. Only Features with type (Feature.ValueType) BOOL, STRING, DOUBLE or INT64 can enable monitoring. If this is populated with [FeaturestoreMonitoringConfig.disabled][] = true, snapshot analysis monitoring is disabled; if [FeaturestoreMonitoringConfig.monitoring_interval][] specified, snapshot analysis monitoring is enabled. Otherwise, snapshot analysis monitoring config is same as the EntityType's this Feature belongs to.
disable_monitoring bool
Optional. Only applicable for Vertex AI Feature Store (Legacy). If not set, use the monitoring_config defined for the EntityType this Feature belongs to. Only Features with type (Feature.ValueType) BOOL, STRING, DOUBLE or INT64 can enable monitoring. If set to true, all types of data monitoring are disabled despite the config on EntityType.
monitoring_stats MutableSequence[google.cloud.aiplatform_v1beta1.types.FeatureStatsAnomaly]
Output only. Only applicable for Vertex AI Feature Store (Legacy). A list of historical SnapshotAnalysis stats requested by user, sorted by FeatureStatsAnomaly.start_time descending.
monitoring_stats_anomalies MutableSequence[google.cloud.aiplatform_v1beta1.types.Feature.MonitoringStatsAnomaly]
Output only. Only applicable for Vertex AI Feature Store (Legacy). The list of historical stats and anomalies with specified objectives.
feature_stats_and_anomaly MutableSequence[google.cloud.aiplatform_v1beta1.types.FeatureStatsAndAnomaly]
Output only. Only applicable for Vertex AI Feature Store. The list of historical stats and anomalies.
version_column_name str
Only applicable for Vertex AI Feature Store. The name of the BigQuery Table/View column hosting data for this version. If no value is provided, will use feature_id.
point_of_contact str
Entity responsible for maintaining this feature. Can be comma separated list of email addresses or URIs.

Classes

LabelsEntry

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

The abstract base class for a message.

Parameters
Name Description
kwargs dict

Keys and values corresponding to the fields of the message.
mapping Union[dict, .Message]

A dictionary or message to be used to determine the values for this message.
ignore_unknown_fields Optional(bool)

If True, do not raise errors for unknown fields. Only applied if mapping is a mapping type or there are keyword parameters.

MonitoringStatsAnomaly

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

A list of historical SnapshotAnalysis or ImportFeaturesAnalysis stats requested by user, sorted by FeatureStatsAnomaly.start_time descending.

ValueType

ValueType(value)

Only applicable for Vertex AI Legacy Feature Store. An enum representing the value type of a feature.

Methods

Feature

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

Feature Metadata information. For example, color is a feature that describes an apple.