SageMaker / Client / update_feature_group
update_feature_group#
- SageMaker.Client.update_feature_group(**kwargs)#
Updates the feature group by either adding features or updating the online store configuration. Use one of the following request parameters at a time while using the
UpdateFeatureGroup
API.You can add features for your feature group using the
FeatureAdditions
request parameter. Features cannot be removed from a feature group.You can update the online store configuration by using the
OnlineStoreConfig
request parameter. If aTtlDuration
is specified, the defaultTtlDuration
applies for all records added to the feature group after the feature group is updated. If a record levelTtlDuration
exists from using thePutRecord
API, the record levelTtlDuration
applies to that record instead of the defaultTtlDuration
.See also: AWS API Documentation
Request Syntax
response = client.update_feature_group( FeatureGroupName='string', FeatureAdditions=[ { 'FeatureName': 'string', 'FeatureType': 'Integral'|'Fractional'|'String', 'CollectionType': 'List'|'Set'|'Vector', 'CollectionConfig': { 'VectorConfig': { 'Dimension': 123 } } }, ], OnlineStoreConfig={ 'TtlDuration': { 'Unit': 'Seconds'|'Minutes'|'Hours'|'Days'|'Weeks', 'Value': 123 } }, ThroughputConfig={ 'ThroughputMode': 'OnDemand'|'Provisioned', 'ProvisionedReadCapacityUnits': 123, 'ProvisionedWriteCapacityUnits': 123 } )
- Parameters:
FeatureGroupName (string) –
[REQUIRED]
The name or Amazon Resource Name (ARN) of the feature group that you’re updating.
FeatureAdditions (list) –
Updates the feature group. Updating a feature group is an asynchronous operation. When you get an HTTP 200 response, you’ve made a valid request. It takes some time after you’ve made a valid request for Feature Store to update the feature group.
(dict) –
A list of features. You must include
FeatureName
andFeatureType
. Valid featureFeatureType``s are ``Integral
,Fractional
andString
.FeatureName (string) – [REQUIRED]
The name of a feature. The type must be a string.
FeatureName
cannot be any of the following:is_deleted
,write_time
,api_invocation_time
.FeatureType (string) – [REQUIRED]
The value type of a feature. Valid values are Integral, Fractional, or String.
CollectionType (string) –
A grouping of elements where each element within the collection must have the same feature type (
String
,Integral
, orFractional
).List
: An ordered collection of elements.Set
: An unordered collection of unique elements.Vector
: A specialized list that represents a fixed-size array of elements. The vector dimension is determined by you. Must have elements with fractional feature types.
CollectionConfig (dict) –
Configuration for your collection.
Note
This is a Tagged Union structure. Only one of the following top level keys can be set:
VectorConfig
.VectorConfig (dict) –
Configuration for your vector collection type.
Dimension
: The number of elements in your vector.
Dimension (integer) – [REQUIRED]
The number of elements in your vector.
OnlineStoreConfig (dict) –
Updates the feature group online store configuration.
TtlDuration (dict) –
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 DeleteRecord API in the Amazon SageMaker API Reference guide.Unit (string) –
TtlDuration
time unit.Value (integer) –
TtlDuration
time value.
ThroughputConfig (dict) –
The new throughput configuration for the feature group. You can switch between on-demand and provisioned modes or update the read / write capacity of provisioned feature groups. You can switch a feature group to on-demand only once in a 24 hour period.
ThroughputMode (string) –
Target throughput mode of the feature group. Throughput update is an asynchronous operation, and the outcome should be monitored by polling
LastUpdateStatus
field inDescribeFeatureGroup
response. You cannot update a feature group’s throughput while another update is in progress.ProvisionedReadCapacityUnits (integer) –
For provisioned feature groups with online store enabled, this indicates the read throughput you are billed for and can consume without throttling.
ProvisionedWriteCapacityUnits (integer) –
For provisioned feature groups, this indicates the write throughput you are billed for and can consume without throttling.
- Return type:
dict
- Returns:
Response Syntax
{ 'FeatureGroupArn': 'string' }
Response Structure
(dict) –
FeatureGroupArn (string) –
The Amazon Resource Number (ARN) of the feature group that you’re updating.
Exceptions
SageMaker.Client.exceptions.ResourceNotFound
SageMaker.Client.exceptions.ResourceLimitExceeded