sagemakerfeaturestoreruntime_put_record: The PutRecord API is used to ingest a list of Records into...

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

The PutRecord API is used to ingest a list of Records into your feature group

Description

The put_record API is used to ingest a list of Records into your feature group.

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

Usage

sagemakerfeaturestoreruntime_put_record(
  FeatureGroupName,
  Record,
  TargetStores = NULL,
  TtlDuration = NULL
)

Arguments

FeatureGroupName	[required] The name or Amazon Resource Name (ARN) of the feature group that you want to insert the record into.
Record	[required] List of FeatureValues to be inserted. This will be a full over-write. If you only want to update few of the feature values, do the following: Use get_record to retrieve the latest record. Update the record returned from get_record. Use put_record to update feature values.
TargetStores	A list of stores to which you're adding the record. By default, Feature Store adds the record to all of the stores that you're using for the FeatureGroup.
TtlDuration	Time to live duration, where the record is hard deleted after the expiration time is reached; ExpiresAt = EventTime + TtlDuration. For information on HardDelete, see the delete_record API in the Amazon SageMaker API Reference guide.

paws.machine.learning documentation built on Sept. 12, 2023, 1:14 a.m.