azure-ai-ml 0.1.0b2

Microsoft Azure Machine Learning Client Library for Python

Azure Machine Learning Python SDK v2

• Overview

• Use cases for SDK v2

• Get started with SDK v2

• Setup

• Change Log

Overview

The azure-ai-ml is a Python SDK package (aka AML SDKv2) for Azure Machine Learning, which allows users to:

• Submit training jobs

• Manage data, models, environments

• Perform managed inferencing (real time and batch)

• Stitch together multiple tasks and production workflows using Azure ML pipelines

Use cases for SDK v2

The SDK v2 is useful in the following scenarios:

1. Move from simple to complex concepts incrementally. SDK v2 allows you to:

   • Construct a single command.

   • Add a hyperparameter sweep on top of that command

   • Add the command with various others into a pipeline one after the other.

   This construction is useful, given the iterative nature of machine learning.

2. Reusable components in pipelines

   Azure ML introduces components for managing and reusing common logic across pipelines. This functionality is available only via CLI v2 and SDK v2.

3. Managed inferencing

   Azure ML offers endpoints to streamline model deployments for both real-time and batch inference deployments. This functionality is available only via CLI v2 and SDK v2.

Get started with SDK v2

• Read through this Install and set up SDK (v2)

• Read through this Train models with the Azure ML Python SDK v2 (preview)

• Read through this Tutorial: Create production ML pipelines with Python SDK v2 (preview) in a Jupyter notebook

Setup

Install the azure-ai-ml package:

pip install --pre azure-ai-ml

Change Log

Initial prerelease

• initial prerelease