sagemakerfeaturestoreruntime_update_record: Updates one or more feature values for an existing record in...

In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

Updates one or more feature values for an existing record in the specified feature group

Description

Updates one or more feature values for an existing record in the specified feature group. Features that you do not include in the request remain unchanged. You can update up to 100 features per call.

See https://www.paws-r-sdk.com/docs/sagemakerfeaturestoreruntime_update_record/ for full documentation.

Usage

sagemakerfeaturestoreruntime_update_record(
  FeatureGroupName,
  RecordIdentifierValueAsString,
  Features,
  TargetStores = NULL,
  TtlDuration = NULL
)

Arguments

FeatureGroupName	[required] The identifier for the feature group that contains the record to update. You can specify one of the following: The feature group name. The feature group Amazon Resource Name (ARN).
RecordIdentifierValueAsString	[required] The value that uniquely identifies the record in the feature group. This must match the value defined by the feature group's record identifier feature.
Features	[required] The feature values to write to the record.
TargetStores	The target stores for the record update. By default, Amazon SageMaker Feature Store updates the record in all stores associated with the FeatureGroup.
TtlDuration	The time-to-live (TTL) duration for the record. Amazon SageMaker Feature Store deletes the record when EventTime + TtlDuration elapses. If you omit this parameter, the record's existing TTL setting remains unchanged. For information about HardDelete, see the delete_record operation in the Amazon SageMaker API Reference.

paws.machine.learning documentation built on Oct. 8, 2026, 9:06 a.m.