FeatureStoreFeatureArgs class

The set of arguments for FeatureStoreFeature. The set of arguments for FeatureStoreFeature.

Constructors

FeatureStoreFeatureArgs({Input<String>? description, Input<bool>? disableMonitoring, required Input<String> entityTypeId, Input<String>? etag, required Input<String> featureId, required Input<String> featurestoreId, Input<Map<String, String>>? labels, Input<String>? location, Input<String>? name, Input<String>? project, Input<FeatureStoreFeatureValueType>? valueType, Input<String>? versionColumnName})
Creates a new FeatureStoreFeatureArgs. 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. entityTypeId Required. etag Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens. featureId Required. The ID to use for the Feature, which will become the final component of the Feature's resource name. This value may be up to 128 characters, and valid characters are [a-z0-9_]. The first character cannot be a number. The value must be unique within an EntityType/FeatureGroup. featurestoreId Required. 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. location Optional. 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. project Optional. 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
FeatureStoreFeatureArgs.fromMap(Map<String, dynamic> map)
factory

Properties

description → Input<String>?
Description of the Feature.
final
disableMonitoring → Input<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
entityTypeId → Input<String>
final
etag → Input<String>?
Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
final
featureId → Input<String>
Required. The ID to use for the Feature, which will become the final component of the Feature's resource name. This value may be up to 128 characters, and valid characters are [a-z0-9_]. The first character cannot be a number. The value must be unique within an EntityType/FeatureGroup.
final
featurestoreId → Input<String>
final
hashCode → int
The hash code for this object.
no setterinherited
labels → Input<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
location → Input<String>?
final
name → Input<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
project → Input<String>?
final
runtimeType → Type
A representation of the runtime type of the object.
no setterinherited
valueType → Input<FeatureStoreFeatureValueType>?
Immutable. Only applicable for Vertex AI Feature Store (Legacy). Type of Feature value.
final
versionColumnName → Input<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