Examples
Index > SageMakerMetrics > Examples
Auto-generated documentation for SageMakerMetrics type annotations stubs module mypy-boto3-sagemaker-metrics.
Client
Implicit type annotations
Can be used with boto3-stubs[sagemaker-metrics]
package installed.
Write your SageMakerMetrics
code as usual,
type checking and code completion should work out of the box.
Client usage example
from boto3.session import Session
session = Session()
client = session.client("sagemaker-metrics") # (1)
result = client.batch_put_metrics() # (2)
- client: SageMakerMetricsClient
- result: BatchPutMetricsResponseTypeDef
Explicit type annotations
With boto3-stubs-lite[sagemaker-metrics]
or a standalone mypy_boto3_sagemaker_metrics
package, you have to explicitly specify client: SageMakerMetricsClient
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.
Client usage example
from boto3.session import Session
from mypy_boto3_sagemaker_metrics.client import SageMakerMetricsClient
from mypy_boto3_sagemaker_metrics.type_defs import BatchPutMetricsResponseTypeDef
from mypy_boto3_sagemaker_metrics.type_defs import BatchPutMetricsRequestRequestTypeDef
session = Session()
client: SageMakerMetricsClient = session.client("sagemaker-metrics")
kwargs: BatchPutMetricsRequestRequestTypeDef = {...}
result: BatchPutMetricsResponseTypeDef = client.batch_put_metrics(**kwargs)