Client
sagemakerfeaturestoreruntime | R Documentation |
Amazon SageMaker Feature Store Runtime¶
Description¶
Contains all data plane API operations and data types for the Amazon SageMaker Feature Store. Use this API to put, delete, and retrieve (get) features from a feature store.
Use the following operations to configure your OnlineStore
and
OfflineStore
features, and to create and manage feature groups:
Usage¶
sagemakerfeaturestoreruntime(
config = list(),
credentials = list(),
endpoint = NULL,
region = NULL
)
Arguments¶
config
Optional configuration of credentials, endpoint, and/or region.
credentials:
creds:
access_key_id: AWS access key ID
secret_access_key: AWS secret access key
session_token: AWS temporary session token
profile: The name of a profile to use. If not given, then the default profile is used.
anonymous: Set anonymous credentials.
endpoint: The complete URL to use for the constructed client.
region: The AWS Region used in instantiating the client.
close_connection: Immediately close all HTTP connections.
timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.
s3_force_path_style: Set this to
true
to force the request to use path-style addressing, i.e.http://s3.amazonaws.com/BUCKET/KEY
.sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html
credentials
Optional credentials shorthand for the config parameter
creds:
access_key_id: AWS access key ID
secret_access_key: AWS secret access key
session_token: AWS temporary session token
profile: The name of a profile to use. If not given, then the default profile is used.
anonymous: Set anonymous credentials.
endpoint
Optional shorthand for complete URL to use for the constructed client.
region
Optional shorthand for AWS Region used in instantiating the client.
Value¶
A client for the service. You can call the service's operations using
syntax like svc$operation(...)
, where svc
is the name you've
assigned to the client. The available operations are listed in the
Operations section.
Service syntax¶
svc <- sagemakerfeaturestoreruntime(
config = list(
credentials = list(
creds = list(
access_key_id = "string",
secret_access_key = "string",
session_token = "string"
),
profile = "string",
anonymous = "logical"
),
endpoint = "string",
region = "string",
close_connection = "logical",
timeout = "numeric",
s3_force_path_style = "logical",
sts_regional_endpoint = "string"
),
credentials = list(
creds = list(
access_key_id = "string",
secret_access_key = "string",
session_token = "string"
),
profile = "string",
anonymous = "logical"
),
endpoint = "string",
region = "string"
)
Operations¶
- batch_get_record
- Retrieves a batch of Records from a FeatureGroup
- delete_record
- Deletes a Record from a FeatureGroup in the OnlineStore
- get_record
- Use for OnlineStore serving from a FeatureStore
- put_record
- The PutRecord API is used to ingest a list of Records into your feature group