Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::UpdateFeatureViewRequest (v0.47.0)

Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::UpdateFeatureViewRequest.

Inherits

def feature_view() -> ::Google::Cloud::AIPlatform::V1::FeatureView

Returns

(::Google::Cloud::AIPlatform::V1::FeatureView) — Required. The FeatureView's name field is used to identify the FeatureView to be updated. Format: projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}

def feature_view=(value) -> ::Google::Cloud::AIPlatform::V1::FeatureView

Parameter

value (::Google::Cloud::AIPlatform::V1::FeatureView) — Required. The FeatureView's name field is used to identify the FeatureView to be updated. Format: projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}

Returns

(::Google::Cloud::AIPlatform::V1::FeatureView) — Required. The FeatureView's name field is used to identify the FeatureView to be updated. Format: projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}

def update_mask() -> ::Google::Protobuf::FieldMask

Returns

def update_mask=(value) -> ::Google::Protobuf::FieldMask

Parameter

value (::Google::Protobuf::FieldMask) —
Field mask is used to specify the fields to be overwritten in the FeatureView resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask then only the non-empty fields present in the request will be overwritten. Set the update_mask to * to override all fields.

Updatable fields:
- labels
- service_agent_type
- big_query_source
- big_query_source.uri
- big_query_source.entity_id_columns
- feature_registry_source
- feature_registry_source.feature_groups
- sync_config
- sync_config.cron

Returns