REST Resource: projects.locations.featurestores.entityTypes.features

Resource: Feature

feature metadata information. For example, color is a feature that describes an apple.

JSON representation 
{
  "name": string,
  "description": string,
  "valueType": enum (ValueType),
  "createTime": string,
  "updateTime": string,
  "labels": {
    string: string,
    ...
  },
  "etag": string,
  "monitoringConfig": {
    object (FeaturestoreMonitoringConfig)
  },
  "disableMonitoring": boolean,
  "monitoringStats": [
    {
      object (FeatureStatsAnomaly)
    }
  ],
  "monitoringStatsAnomalies": [
    {
      object (MonitoringStatsAnomaly)
    }
  ],
  "versionColumnName": string,
  "pointOfContact": string
}
Fields
name

string

Immutable. name of the feature. Format: projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}/features/{feature} projects/{project}/locations/{location}/featureGroups/{featureGroup}/features/{feature}

The last part feature is assigned by the client. The feature can be up to 64 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscore(_), and ASCII digits 0-9 starting with a letter. The value will be unique given an entity type.
description

string

description of the feature.
valueType

enum (ValueType)

Immutable. Only applicable for Vertex AI feature Store (Legacy). type of feature value.
createTime

string (Timestamp format)

Output only. Only applicable for Vertex AI feature Store (Legacy). timestamp when this EntityType was created.

A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples: "2014-10-02T15:01:23Z" and "2014-10-02T15:01:23.045123456Z".
updateTime

string (Timestamp format)

Output only. Only applicable for Vertex AI feature Store (Legacy). timestamp when this EntityType was most recently updated.

A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples: "2014-10-02T15:01:23Z" and "2014-10-02T15:01:23.045123456Z".
labels

map (key: string, value: string)

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

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 feature (System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
etag

string

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

object (FeaturestoreMonitoringConfig)

Optional. Only applicable for Vertex AI feature Store (Legacy). Deprecated: The custom monitoring configuration for this feature, if not set, use the monitoringConfig defined for the EntityType this feature belongs to. Only Features with type (feature.ValueType) BOOL, STRING, DOUBLE or INT64 can enable monitoring.

If this is populated with [FeaturestoreMonitoringConfig.disabled][] = true, snapshot analysis monitoring is disabled; if [FeaturestoreMonitoringConfig.monitoring_interval][] specified, snapshot analysis monitoring is enabled. Otherwise, snapshot analysis monitoring config is same as the EntityType's this feature belongs to.
disableMonitoring

boolean

Optional. Only applicable for Vertex AI feature Store (Legacy). If not set, use the monitoringConfig defined for the EntityType this feature belongs to. Only Features with type (feature.ValueType) BOOL, STRING, DOUBLE or INT64 can enable monitoring.

If set to true, all types of data monitoring are disabled despite the config on EntityType.
monitoringStats[]

object (FeatureStatsAnomaly)

Output only. Only applicable for Vertex AI feature Store (Legacy). A list of historical SnapshotAnalysis stats requested by user, sorted by FeatureStatsAnomaly.start_time descending.
monitoringStatsAnomalies[]

object (MonitoringStatsAnomaly)

Output only. Only applicable for Vertex AI feature Store (Legacy). The list of historical stats and anomalies with specified objectives.
versionColumnName

string

Only applicable for Vertex AI feature Store. The name of the BigQuery Table/View column hosting data for this version. If no value is provided, will use featureId.
pointOfContact

string

Entity responsible for maintaining this feature. Can be comma separated list of email addresses or URIs.

Methods

batchCreate

 Creates a batch of Features in a given EntityType.

create

 Creates a new Feature in a given EntityType.

delete

 Deletes a single Feature.

get

 Gets details of a single Feature.

list

 Lists Features in a given EntityType.

patch

 Updates the parameters of a single Feature.