Examples

Index > SageMakerFeatureStoreRuntime > Examples

Auto-generated documentation for SageMakerFeatureStoreRuntime type annotations stubs module mypy-boto3-sagemaker-featurestore-runtime.

Client

Implicit type annotations

Can be used with boto3-stubs[sagemaker-featurestore-runtime] package installed.

Write your SageMakerFeatureStoreRuntime code as usual, type checking and code completion should work out of the box.

# SageMakerFeatureStoreRuntimeClient usage example

from boto3.session import Session


session = Session()

client = session.client("sagemaker-featurestore-runtime")  # (1)
result = client.batch_get_record()  # (2)

1. client: SageMakerFeatureStoreRuntimeClient
2. result: BatchGetRecordResponseTypeDef

Explicit type annotations

With boto3-stubs-lite[sagemaker-featurestore-runtime] or a standalone mypy_boto3_sagemaker_featurestore_runtime package, you have to explicitly specify client: SageMakerFeatureStoreRuntimeClient type annotation.

All other type annotations are optional, as types should be discovered automatically. However, these type annotations can be helpful in your functions and methods.

# SageMakerFeatureStoreRuntimeClient usage example with type annotations

from boto3.session import Session

from mypy_boto3_sagemaker_featurestore_runtime.client import SageMakerFeatureStoreRuntimeClient
from mypy_boto3_sagemaker_featurestore_runtime.type_defs import BatchGetRecordResponseTypeDef
from mypy_boto3_sagemaker_featurestore_runtime.type_defs import BatchGetRecordRequestRequestTypeDef


session = Session()

client: SageMakerFeatureStoreRuntimeClient = session.client("sagemaker-featurestore-runtime")

kwargs: BatchGetRecordRequestRequestTypeDef = {...}
result: BatchGetRecordResponseTypeDef = client.batch_get_record(**kwargs)