- 0.55.0 (latest)
- 0.54.0
- 0.53.0
- 0.52.0
- 0.51.0
- 0.50.0
- 0.49.0
- 0.48.0
- 0.47.0
- 0.46.0
- 0.45.0
- 0.44.0
- 0.43.0
- 0.42.0
- 0.41.0
- 0.40.0
- 0.39.0
- 0.38.0
- 0.37.0
- 0.36.0
- 0.35.0
- 0.34.0
- 0.33.0
- 0.32.0
- 0.31.0
- 0.30.0
- 0.29.0
- 0.28.0
- 0.27.0
- 0.26.0
- 0.25.0
- 0.24.0
- 0.23.0
- 0.22.0
- 0.21.0
- 0.20.0
- 0.19.0
- 0.18.0
- 0.17.0
- 0.16.0
- 0.15.0
- 0.14.0
- 0.13.0
- 0.12.0
- 0.11.0
- 0.10.0
- 0.9.1
- 0.8.0
- 0.7.0
- 0.6.0
- 0.5.0
- 0.4.0
- 0.3.0
- 0.2.0
- 0.1.0
Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::FeatureView.
FeatureView is representation of values that the FeatureOnlineStore will serve based on its syncConfig.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#big_query_source
def big_query_source() -> ::Google::Cloud::AIPlatform::V1::FeatureView::BigQuerySource
- (::Google::Cloud::AIPlatform::V1::FeatureView::BigQuerySource) — Optional. Configures how data is supposed to be extracted from a BigQuery source to be loaded onto the FeatureOnlineStore.
#big_query_source=
def big_query_source=(value) -> ::Google::Cloud::AIPlatform::V1::FeatureView::BigQuerySource
- value (::Google::Cloud::AIPlatform::V1::FeatureView::BigQuerySource) — Optional. Configures how data is supposed to be extracted from a BigQuery source to be loaded onto the FeatureOnlineStore.
- (::Google::Cloud::AIPlatform::V1::FeatureView::BigQuerySource) — Optional. Configures how data is supposed to be extracted from a BigQuery source to be loaded onto the FeatureOnlineStore.
#create_time
def create_time() -> ::Google::Protobuf::Timestamp
- (::Google::Protobuf::Timestamp) — Output only. Timestamp when this FeatureView was created.
#etag
def etag() -> ::String
- (::String) — Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
#etag=
def etag=(value) -> ::String
- value (::String) — Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
- (::String) — Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
#feature_registry_source
def feature_registry_source() -> ::Google::Cloud::AIPlatform::V1::FeatureView::FeatureRegistrySource
- (::Google::Cloud::AIPlatform::V1::FeatureView::FeatureRegistrySource) — Optional. Configures the features from a Feature Registry source that need to be loaded onto the FeatureOnlineStore.
#feature_registry_source=
def feature_registry_source=(value) -> ::Google::Cloud::AIPlatform::V1::FeatureView::FeatureRegistrySource
- value (::Google::Cloud::AIPlatform::V1::FeatureView::FeatureRegistrySource) — Optional. Configures the features from a Feature Registry source that need to be loaded onto the FeatureOnlineStore.
- (::Google::Cloud::AIPlatform::V1::FeatureView::FeatureRegistrySource) — Optional. Configures the features from a Feature Registry source that need to be loaded onto the FeatureOnlineStore.
#index_config
def index_config() -> ::Google::Cloud::AIPlatform::V1::FeatureView::IndexConfig
- (::Google::Cloud::AIPlatform::V1::FeatureView::IndexConfig) — Optional. Configuration for index preparation for vector search. It contains the required configurations to create an index from source data, so that approximate nearest neighbor (a.k.a ANN) algorithms search can be performed during online serving.
#index_config=
def index_config=(value) -> ::Google::Cloud::AIPlatform::V1::FeatureView::IndexConfig
- value (::Google::Cloud::AIPlatform::V1::FeatureView::IndexConfig) — Optional. Configuration for index preparation for vector search. It contains the required configurations to create an index from source data, so that approximate nearest neighbor (a.k.a ANN) algorithms search can be performed during online serving.
- (::Google::Cloud::AIPlatform::V1::FeatureView::IndexConfig) — Optional. Configuration for index preparation for vector search. It contains the required configurations to create an index from source data, so that approximate nearest neighbor (a.k.a ANN) algorithms search can be performed during online serving.
#labels
def labels() -> ::Google::Protobuf::Map{::String => ::String}
-
(::Google::Protobuf::Map{::String => ::String}) — Optional. The labels with user-defined metadata to organize your
FeatureViews.
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 FeatureOnlineStore(System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
#labels=
def labels=(value) -> ::Google::Protobuf::Map{::String => ::String}
-
value (::Google::Protobuf::Map{::String => ::String}) — Optional. The labels with user-defined metadata to organize your
FeatureViews.
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 FeatureOnlineStore(System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
-
(::Google::Protobuf::Map{::String => ::String}) — Optional. The labels with user-defined metadata to organize your
FeatureViews.
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 FeatureOnlineStore(System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
#name
def name() -> ::String
-
(::String) — Identifier. Name of the FeatureView. Format:
projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}
#name=
def name=(value) -> ::String
-
value (::String) — Identifier. Name of the FeatureView. Format:
projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}
-
(::String) — Identifier. Name of the FeatureView. Format:
projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}
#sync_config
def sync_config() -> ::Google::Cloud::AIPlatform::V1::FeatureView::SyncConfig
- (::Google::Cloud::AIPlatform::V1::FeatureView::SyncConfig) — Configures when data is to be synced/updated for this FeatureView. At the end of the sync the latest featureValues for each entityId of this FeatureView are made ready for online serving.
#sync_config=
def sync_config=(value) -> ::Google::Cloud::AIPlatform::V1::FeatureView::SyncConfig
- value (::Google::Cloud::AIPlatform::V1::FeatureView::SyncConfig) — Configures when data is to be synced/updated for this FeatureView. At the end of the sync the latest featureValues for each entityId of this FeatureView are made ready for online serving.
- (::Google::Cloud::AIPlatform::V1::FeatureView::SyncConfig) — Configures when data is to be synced/updated for this FeatureView. At the end of the sync the latest featureValues for each entityId of this FeatureView are made ready for online serving.
#update_time
def update_time() -> ::Google::Protobuf::Timestamp
- (::Google::Protobuf::Timestamp) — Output only. Timestamp when this FeatureView was last updated.