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SageMakerRuntime module

Index > SageMakerRuntime

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

How to install

VSCode extension

Add AWS Boto3 extension to your VSCode and run AWS boto3: Quick Start command.

Click Modify and select boto3 common and SageMakerRuntime.

From PyPI with pip

Install boto3-stubs for SageMakerRuntime service.

# install with boto3 type annotations
python -m pip install 'boto3-stubs[sagemaker-runtime]'

# Lite version does not provide session.client/resource overloads
# it is more RAM-friendly, but requires explicit type annotations
python -m pip install 'boto3-stubs-lite[sagemaker-runtime]'

# standalone installation
python -m pip install mypy-boto3-sagemaker-runtime

How to uninstall

python -m pip uninstall -y mypy-boto3-sagemaker-runtime


Code samples can be found in Examples.


Type annotations and code completion for boto3.client("sagemaker-runtime") as SageMakerRuntimeClient boto3 documentation

Usage example
from boto3.session import Session

from mypy_boto3_sagemaker_runtime.client import SageMakerRuntimeClient

def get_client() -> SageMakerRuntimeClient:
    return Session().client("sagemaker-runtime")


Type annotations for literals used in methods and schemas.

Usage example
from mypy_boto3_sagemaker_runtime.literals import SageMakerRuntimeServiceName

def get_value() -> SageMakerRuntimeServiceName:
    return "sagemaker-runtime"

Typed dictionaries

Type annotations for typed dictionaries used in methods and schema.

Usage example
from mypy_boto3_sagemaker_runtime.type_defs import InvokeEndpointAsyncInputRequestTypeDef

def get_value() -> InvokeEndpointAsyncInputRequestTypeDef:
    return {
        "EndpointName": ...,
        "InputLocation": ...,