GetFeatureStoreFeatureAiplatformV1beta1Result class

Result data returned by getFeatureStoreFeature.

Constructors

GetFeatureStoreFeatureAiplatformV1beta1Result({required String createTime, required String description, required bool disableMonitoring, required String etag, required Map<String, String> labels, required GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigResponse monitoringConfig, required List<GoogleCloudAiplatformV1beta1FeatureStatsAnomalyResponse> monitoringStats, required List<GoogleCloudAiplatformV1beta1FeatureMonitoringStatsAnomalyResponse> monitoringStatsAnomalies, required String name, required String updateTime, required String valueType, required String versionColumnName})
Creates a new GetFeatureStoreFeatureAiplatformV1beta1Result. createTime Only applicable for Vertex AI Feature Store (Legacy). Timestamp when this EntityType was created. description Description of the Feature. disableMonitoring 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. etag Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens. labels 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. monitoringConfig 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. monitoringStats Only applicable for Vertex AI Feature Store (Legacy). A list of historical SnapshotAnalysis stats requested by user, sorted by FeatureStatsAnomaly.start_time descending. monitoringStatsAnomalies Only applicable for Vertex AI Feature Store (Legacy). The list of historical stats and anomalies with specified objectives. name 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. updateTime Only applicable for Vertex AI Feature Store (Legacy). Timestamp when this EntityType was most recently updated. valueType Immutable. Only applicable for Vertex AI Feature Store (Legacy). Type of Feature value. versionColumnName Only applicable for Vertex AI Feature Store. The name of the BigQuery Table/View columnn hosting data for this version. If no value is provided, will use feature_id.
const
GetFeatureStoreFeatureAiplatformV1beta1Result.fromMap(Map<String, dynamic> map)
factory

Properties

createTime → String
Only applicable for Vertex AI Feature Store (Legacy). Timestamp when this EntityType was created.
final
description → String
Description of the Feature.
final
disableMonitoring → 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.
final
etag → String
Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
final
hashCode → int
The hash code for this object.
no setterinherited
labels → Map<String, String>
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.
final
monitoringConfig → GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigResponse
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.
final
monitoringStats → List<GoogleCloudAiplatformV1beta1FeatureStatsAnomalyResponse>
Only applicable for Vertex AI Feature Store (Legacy). A list of historical SnapshotAnalysis stats requested by user, sorted by FeatureStatsAnomaly.start_time descending.
final
monitoringStatsAnomalies → List<GoogleCloudAiplatformV1beta1FeatureMonitoringStatsAnomalyResponse>
Only applicable for Vertex AI Feature Store (Legacy). The list of historical stats and anomalies with specified objectives.
final
name → String
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.
final
runtimeType → Type
A representation of the runtime type of the object.
no setterinherited
updateTime → String
Only applicable for Vertex AI Feature Store (Legacy). Timestamp when this EntityType was most recently updated.
final
valueType → String
Immutable. Only applicable for Vertex AI Feature Store (Legacy). Type of Feature value.
final
versionColumnName → String
Only applicable for Vertex AI Feature Store. The name of the BigQuery Table/View columnn hosting data for this version. If no value is provided, will use feature_id.
final

Methods

noSuchMethod(Invocation invocation) → dynamic
Invoked when a nonexistent method or property is accessed.
inherited
toMap() → Map<String, dynamic>
toString() → String
A string representation of this object.
inherited

Operators

operator ==(Object other) → bool
The equality operator.
inherited