Amazon SageMaker Python SDK

Amazon SageMaker Python SDK is an open source library for training and deploying machine-learned models on Amazon SageMaker.

With the SDK, you can train and deploy models using popular deep learning frameworks, algorithms provided by Amazon, or your own algorithms built into SageMaker-compatible Docker images.

Here you’ll find an overview and API documentation for SageMaker Python SDK. The project homepage is in Github: https://github.com/aws/sagemaker-python-sdk, where you can find the SDK source and installation instructions for the library.

MXNet

A managed environment for MXNet training and hosting on Amazon SageMaker

Scikit-Learn

A managed enrionment for Scikit-learn training and hosting on Amazon SageMaker

PyTorch

A managed environment for PyTorch training and hosting on Amazon SageMaker

Chainer

A managed environment for Chainer training and hosting on Amazon SageMaker

Reinforcement Learning

A managed environment for Reinforcement Learning training and hosting on Amazon SageMaker

SparkML Serving

A managed environment for SparkML hosting on Amazon SageMaker

SageMaker First-Party Algorithms

Amazon provides implementations of some common machine learning algortithms optimized for GPU architecture and massive datasets.