Cloud AI Platform v1beta1 API - Class FeatureGroup (1.0.0-beta12)

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

Reference documentation and code samples for the Cloud AI Platform v1beta1 API class FeatureGroup.

Vertex AI Feature Group.

Inheritance

object > FeatureGroup

Namespace

Google.Cloud.AIPlatform.V1Beta1

Assembly

Google.Cloud.AIPlatform.V1Beta1.dll

Constructors

FeatureGroup()

public FeatureGroup()

FeatureGroup(FeatureGroup)

public FeatureGroup(FeatureGroup other)
Parameter
Name Description
other FeatureGroup

Properties

BigQuery

public FeatureGroup.Types.BigQuery BigQuery { get; set; }

Indicates that features for this group come from BigQuery Table/View. By default treats the source as a sparse time series source. The BigQuery source table or view must have at least one entity ID column and a column named feature_timestamp.

Property Value
Type Description
FeatureGroupTypesBigQuery

CreateTime

public Timestamp CreateTime { get; set; }

Output only. Timestamp when this FeatureGroup was created.

Property Value
Type Description
Timestamp

Description

public string Description { get; set; }

Optional. Description of the FeatureGroup.

Property Value
Type Description
string

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

FeatureGroupName

public FeatureGroupName FeatureGroupName { get; set; }

FeatureGroupName-typed view over the Name resource name property.

Property Value
Type Description
FeatureGroupName

Labels

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

Optional. The labels with user-defined metadata to organize your FeatureGroup.

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 FeatureGroup(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; }

Identifier. Name of the FeatureGroup. Format: projects/{project}/locations/{location}/featureGroups/{featureGroup}

Property Value
Type Description
string

ServiceAccountEmail

public string ServiceAccountEmail { get; set; }

Output only. A Service Account unique to this FeatureGroup. The role bigquery.dataViewer should be granted to this service account to allow Vertex AI Feature Store to access source data while running jobs under this FeatureGroup.

Property Value
Type Description
string

ServiceAgentType

public FeatureGroup.Types.ServiceAgentType ServiceAgentType { get; set; }

Optional. Service agent type used during jobs under a FeatureGroup. By default, the Vertex AI Service Agent is used. When using an IAM Policy to isolate this FeatureGroup within a project, a separate service account should be provisioned by setting this field to SERVICE_AGENT_TYPE_FEATURE_GROUP. This will generate a separate service account to access the BigQuery source table.

Property Value
Type Description
FeatureGroupTypesServiceAgentType

SourceCase

public FeatureGroup.SourceOneofCase SourceCase { get; }
Property Value
Type Description
FeatureGroupSourceOneofCase

UpdateTime

public Timestamp UpdateTime { get; set; }

Output only. Timestamp when this FeatureGroup was last updated.

Property Value
Type Description
Timestamp