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Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::Featurestore.
Vertex AI Feature Store provides a centralized repository for organizing, storing, and serving ML features. The Featurestore is a top-level container for your features and their values.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#create_time
def create_time() -> ::Google::Protobuf::Timestamp
- (::Google::Protobuf::Timestamp) — Output only. Timestamp when this Featurestore was created.
#encryption_spec
def encryption_spec() -> ::Google::Cloud::AIPlatform::V1::EncryptionSpec
- (::Google::Cloud::AIPlatform::V1::EncryptionSpec) — Optional. Customer-managed encryption key spec for data storage. If set, both of the online and offline data storage will be secured by this key.
#encryption_spec=
def encryption_spec=(value) -> ::Google::Cloud::AIPlatform::V1::EncryptionSpec
- value (::Google::Cloud::AIPlatform::V1::EncryptionSpec) — Optional. Customer-managed encryption key spec for data storage. If set, both of the online and offline data storage will be secured by this key.
- (::Google::Cloud::AIPlatform::V1::EncryptionSpec) — Optional. Customer-managed encryption key spec for data storage. If set, both of the online and offline data storage will be secured by this key.
#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.
#labels
def labels() -> ::Google::Protobuf::Map{::String => ::String}
-
(::Google::Protobuf::Map{::String => ::String}) — Optional. The labels with user-defined metadata to organize your Featurestore.
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 Featurestore(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 Featurestore.
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 Featurestore(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 Featurestore.
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 Featurestore(System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
#name
def name() -> ::String
-
(::String) — Output only. Name of the Featurestore. Format:
projects/{project}/locations/{location}/featurestores/{featurestore}
#online_serving_config
def online_serving_config() -> ::Google::Cloud::AIPlatform::V1::Featurestore::OnlineServingConfig
- (::Google::Cloud::AIPlatform::V1::Featurestore::OnlineServingConfig) — Optional. Config for online storage resources. If unset, the featurestore will not have an online store and cannot be used for online serving.
#online_serving_config=
def online_serving_config=(value) -> ::Google::Cloud::AIPlatform::V1::Featurestore::OnlineServingConfig
- value (::Google::Cloud::AIPlatform::V1::Featurestore::OnlineServingConfig) — Optional. Config for online storage resources. If unset, the featurestore will not have an online store and cannot be used for online serving.
- (::Google::Cloud::AIPlatform::V1::Featurestore::OnlineServingConfig) — Optional. Config for online storage resources. If unset, the featurestore will not have an online store and cannot be used for online serving.
#state
def state() -> ::Google::Cloud::AIPlatform::V1::Featurestore::State
- (::Google::Cloud::AIPlatform::V1::Featurestore::State) — Output only. State of the featurestore.
#update_time
def update_time() -> ::Google::Protobuf::Timestamp
- (::Google::Protobuf::Timestamp) — Output only. Timestamp when this Featurestore was last updated.