Azure Machine Learning previews

Welcome to the Azure Machine Learning previews repository!

Prerequisites

1. An Azure subscription. If you don't have an Azure subscription, create a free account before you begin.
2. A terminal. Install and set up the CLI (v2) before you begin.

Public previews

Public preview examples can be found at https://github.com/Azure/azureml-examples/tree/main/cli. Documentation for v2 preview features is listed below.

Installation and set up:

• Install and set up the CLI (v2)
• Set up the VSCode extension

Train models (jobs):

• Train models with the CLI (v2)

Deploy models (endpoints and deployments):

• What are Azure Machine Learning endpoints?
• Deploy and score a machine learning model with a managed online endpoint
• Safe rollout for online endpoints
• Use managed online endpoints in the studio
• Viewing costs for managed online endpoints
• Managed online endpoints SKU list
• Monitoring managed online endpoints
• Tutorial: Access Azure resources with a managed online nedpoint and system-managed identity
• Troubleshooting managed online endpoints
• Batch scoring with batch endpoints
• Troubleshooting batch endpoints

Reference:

• CLI (v2) commands
• YAML schemas

Private previews

preview	description
pipelines	Pipelines for the CLI (v2), defined through YAML specification
interactive-job	Run an interactive job on Arc compute
automl	AutoML for the CLI (v2), defined through YAML specification
automl-dnn-nlp	AutoML for language data powered by BERT, available to multiclass, multilabel and NER tasks.
automatic-compute	Submit training jobs without having to create a compute target.

Contents

directory	description
previews	Self-contained directories of private previews

Contributing

We welcome contributions and suggestions! Please see the contributing guidelines for details.

Code of Conduct

This project has adopted the Microsoft Open Source Code of Conduct. Please see the code of conduct for details.