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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. The field should not
co-exist with the field of
OnlineStoreReplicationConfig
. If both of it and OnlineStoreReplicationConfig are unset, the feature store 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. The field should not
co-exist with the field of
OnlineStoreReplicationConfig
. If both of it and OnlineStoreReplicationConfig are unset, the feature store 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. The field should not
co-exist with the field of
OnlineStoreReplicationConfig
. If both of it and OnlineStoreReplicationConfig are unset, the feature store will not have an online store and cannot be used for online serving.
#online_storage_ttl_days
def online_storage_ttl_days() -> ::Integer
-
(::Integer) — Optional. TTL in days for feature values that will be stored in online
serving storage. The Feature Store online storage periodically removes
obsolete feature values older than
online_storage_ttl_days
since the feature generation time. Note thatonline_storage_ttl_days
should be less than or equal tooffline_storage_ttl_days
for each EntityType under a featurestore. If not set, default to 4000 days
#online_storage_ttl_days=
def online_storage_ttl_days=(value) -> ::Integer
-
value (::Integer) — Optional. TTL in days for feature values that will be stored in online
serving storage. The Feature Store online storage periodically removes
obsolete feature values older than
online_storage_ttl_days
since the feature generation time. Note thatonline_storage_ttl_days
should be less than or equal tooffline_storage_ttl_days
for each EntityType under a featurestore. If not set, default to 4000 days
-
(::Integer) — Optional. TTL in days for feature values that will be stored in online
serving storage. The Feature Store online storage periodically removes
obsolete feature values older than
online_storage_ttl_days
since the feature generation time. Note thatonline_storage_ttl_days
should be less than or equal tooffline_storage_ttl_days
for each EntityType under a featurestore. If not set, default to 4000 days
#satisfies_pzi
def satisfies_pzi() -> ::Boolean
- (::Boolean) — Output only. Reserved for future use.
#satisfies_pzs
def satisfies_pzs() -> ::Boolean
- (::Boolean) — Output only. Reserved for future use.
#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.