Class Featurestore (1.12.1)

Version 1.12.1

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Featurestore(mapping=None, *, ignore_unknown_fields=False, **kwargs)

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.

Attributes

Name	Description
name	str Output only. Name of the Featurestore. Format: ``projects/{project}/locations/{location}/featurestores/{featurestore}``
create_time	google.protobuf.timestamp_pb2.Timestamp Output only. Timestamp when this Featurestore was created.
update_time	google.protobuf.timestamp_pb2.Timestamp Output only. Timestamp when this Featurestore was last updated.
etag	str Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
labels	Sequence[google.cloud.aiplatform_v1.types.Featurestore.LabelsEntry] 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.
online_serving_config	google.cloud.aiplatform_v1.types.Featurestore.OnlineServingConfig Required. Config for online serving resources.
state	google.cloud.aiplatform_v1.types.Featurestore.State Output only. State of the featurestore.
encryption_spec	google.cloud.aiplatform_v1.types.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.

Inheritance

builtins.object > proto.message.Message > Featurestore

Classes

LabelsEntry

LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

Parameters

Name	Description
kwargs	dict Keys and values corresponding to the fields of the message.
mapping	Union[dict, `.Message`] A dictionary or message to be used to determine the values for this message.
ignore_unknown_fields	Optional(bool) If True, do not raise errors for unknown fields. Only applied if mapping is a mapping type or there are keyword parameters.

OnlineServingConfig

OnlineServingConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

OnlineServingConfig specifies the details for provisioning online serving resources.

State

State(value)

Possible states a Featurestore can have.