Cloud AI Platform v1 API - Class Featurestore (2.28.0) 

public sealed class Featurestore : IMessage<Featurestore>, IEquatable<Featurestore>, IDeepCloneable<Featurestore>, IBufferMessage, IMessage

Reference documentation and code samples for the Cloud AI Platform v1 API class 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.

Inheritance

object > Featurestore

Namespace

Google.Cloud.AIPlatform.V1

Assembly

Google.Cloud.AIPlatform.V1.dll

Constructors

Featurestore()

public Featurestore()

Featurestore(Featurestore)

public Featurestore(Featurestore other)
Parameter
Name Description
other Featurestore

Properties

CreateTime

public Timestamp CreateTime { get; set; }

Output only. Timestamp when this Featurestore was created.

Property Value
Type Description
Timestamp

EncryptionSpec

public EncryptionSpec EncryptionSpec { get; set; }

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.

Property Value
Type Description
EncryptionSpec

Etag

public string Etag { get; set; }

Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

Property Value
Type Description
string

FeaturestoreName

public FeaturestoreName FeaturestoreName { get; set; }

FeaturestoreName-typed view over the Name resource name property.

Property Value
Type Description
FeaturestoreName

Labels

public MapField<string, string> Labels { get; }

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.

Property Value
Type Description
MapFieldstringstring

Name

public string Name { get; set; }

Output only. Name of the Featurestore. Format: projects/{project}/locations/{location}/featurestores/{featurestore}

Property Value
Type Description
string

OnlineServingConfig

public Featurestore.Types.OnlineServingConfig OnlineServingConfig { get; set; }

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.

Property Value
Type Description
FeaturestoreTypesOnlineServingConfig

OnlineStorageTtlDays

public int OnlineStorageTtlDays { get; set; }

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 that online_storage_ttl_days should be less than or equal to offline_storage_ttl_days for each EntityType under a featurestore. If not set, default to 4000 days

Property Value
Type Description
int

State

public Featurestore.Types.State State { get; set; }

Output only. State of the featurestore.

Property Value
Type Description
FeaturestoreTypesState

UpdateTime

public Timestamp UpdateTime { get; set; }

Output only. Timestamp when this Featurestore was last updated.

Property Value
Type Description
Timestamp