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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. |
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,
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 |
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.
Values: VALUE_TYPE_UNSPECIFIED (0): The value type is unspecified. BOOL (1): Used for Feature that is a boolean. BOOL_ARRAY (2): Used for Feature that is a list of boolean. DOUBLE (3): Used for Feature that is double. DOUBLE_ARRAY (4): Used for Feature that is a list of double. INT64 (9): Used for Feature that is INT64. INT64_ARRAY (10): Used for Feature that is a list of INT64. STRING (11): Used for Feature that is string. STRING_ARRAY (12): Used for Feature that is a list of String. BYTES (13): Used for Feature that is bytes.
Methods
Feature
Feature(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Feature Metadata information. For example, color is a feature that describes an apple.