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.
Implements
IMessageFeatureGroup, IEquatableFeatureGroup, IDeepCloneableFeatureGroup, IBufferMessage, IMessageNamespace
Google.Cloud.AIPlatform.V1Beta1Assembly
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 |