Azure Machine Learning SDK (v2) examples
Prerequisites
- An Azure subscription. If you don't have an Azure subscription, create a free account before you begin.
Getting started
- Install the SDK v2
pip install azure-ai-ml
Clone examples repository
git clone https://github.com/Azure/azureml-examples
cd azureml-examples/sdk/python
Examples available
Test Status is for branch - main
|Area|Sub-Area|Notebook|Description|Status|
|--|--|--|--|--|
|assets|assets-in-registry|share-data-using-registry|no description|
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|assets|assets-in-registry|share-models-components-environments|no description|
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|assets|component|component|Create a component asset|
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|assets|data|data|Read, write and register a data asset|
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|assets|data|versioning|Compute and check dataset hash in Azure ML; register if unique for efficient versioning.|
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|assets|data|working_with_mltable|Read, write and register a data asset|
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|assets|environment|environment|Create custom environments from docker and/or conda YAML|
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|assets|model|model|Create model from local files, cloud files, Runs|
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|basic-installation|basic-installation|basic-installation|Install and do a basic sanity of azure-ai-ml by listing the workspaces available in the resource group.||
|data-wrangling|interactive_data_wrangling.ipynb|interactive_data_wrangling|no description - This sample is excluded from automated tests|
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|endpoints|batch|custom-output-batch|no description|
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|endpoints|batch|mlflow-for-batch-tabular|no description|
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|endpoints|batch|text-summarization-batch|no description|
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|endpoints|batch|imagenet-classifier-batch|no description|
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|endpoints|batch|imagenet-classifier-mlflow|no description|
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|endpoints|batch|mnist-batch|Create and test batch endpoint and deployement|
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|endpoints|batch|deploy-and-test|no description|
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|endpoints|batch|sdk-deploy-and-test|no description|
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|endpoints|batch|sdk-deploy-and-test|no description|
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|endpoints|batch|sdk-deploy-and-test|no description|
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|endpoints|online|online-endpoints-custom-container-multimodel|no description|
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|endpoints|online|online-endpoints-custom-container|Deploy a custom container as an online endpoint. Use web servers other than the default Python Flask server used by Azure ML without losing the benefits of Azure ML's built-in monitoring, scaling, alerting, and authentication.|
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|endpoints|online|online-endpoints-triton-cc|Deploy a custom container as an online endpoint. Use web servers other than the default Python Flask server used by Azure ML without losing the benefits of Azure ML's built-in monitoring, scaling, alerting, and authentication.|
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|endpoints|online|sdk-deploy-and-test|no description|
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|endpoints|online|sdk-deploy-and-test|no description|
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|endpoints|online|sdk-deploy-and-test|no description|
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|endpoints|online|kubernetes-online-endpoints-safe-rollout|Safely rollout a new version of a web service to production by rolling out the change to a small subset of users/requests before rolling it out completely|
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|endpoints|online|kubernetes-online-endpoints-simple-deployment|Use an online endpoint to deploy your model, so you don't have to create and manage the underlying infrastructure|
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|endpoints|online|debug-online-endpoints-locally-in-visual-studio-code|no description - This sample is excluded from automated tests|
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|endpoints|online|online-endpoints-managed-identity-sai|no description|
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|endpoints|online|online-endpoints-managed-identity-uai|no description|
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|endpoints|online|online-endpoints-binary-payloads|no description|
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|endpoints|online|online-endpoints-inference-schema|no description|
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|endpoints|online|online-endpoints-keyvault|no description|
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|endpoints|online|online-endpoints-multimodel|no description|
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|endpoints|online|online-endpoints-openapi|no description|
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|endpoints|online|online-endpoints-safe-rollout|Safely rollout a new version of a web service to production by rolling out the change to a small subset of users/requests before rolling it out completely|
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|endpoints|online|online-endpoints-simple-deployment|Use an online endpoint to deploy your model, so you don't have to create and manage the underlying infrastructure|
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|endpoints|online|online-endpoints-deploy-mlflow-model-with-script|Deploy an mlflow model to an online endpoint. This will be a no-code-deployment. It doesn't require scoring script and environment.|
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|endpoints|online|online-endpoints-deploy-mlflow-model|Deploy an mlflow model to an online endpoint. This will be a no-code-deployment. It doesn't require scoring script and environment.|
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|endpoints|online|online-endpoints-triton|Deploy a custom container as an online endpoint. Use web servers other than the default Python Flask server used by Azure ML without losing the benefits of Azure ML's built-in monitoring, scaling, alerting, and authentication.|
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|environments|environment|environment|Environments in AML SDK v2 ensure reproducibility and consistency by encapsulating dependencies, packages, and runtime settings for training and inference workflows.| NA |
|environments|environment with private package - conda file|environment-with-private-package-conda-spec|Environments in AML SDK v2 ensure reproducibility and consistency by encapsulating dependencies, packages, and runtime settings for training and inference workflows. This example shows how to use private python packages with environments using conda file.| NA |
|environments|environment with private packages - docker image|environment-with-private-package-docker-image|Environments in AML SDK v2 ensure reproducibility and consistency by encapsulating dependencies, packages, and runtime settings for training and inference workflows.This example shows how to use private python packages with environments using docker image.| NA |
|featurestore_sample|automation-test|test_featurestore_cli_samples|no description|
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|featurestore_sample|automation-test|test_featurestore_sdk_samples|no description|
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|featurestore_sample|automation-test|test_featurestore_vnet_samples|no description|
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|foundation-models|azure_openai|openai_completions_finetune|no description|
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|foundation-models|benchmarking|evaluating_claude_models|no description|
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|foundation-models|benchmarking|evaluating_oai_models|no description|
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|foundation-models|cohere|cohere-aisearch-langchain-rag|no description|
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|foundation-models|cohere|cohere-aisearch-rag|no description|
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|foundation-models|cohere|cohere-cmdR|no description|
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|foundation-models|cohere|cohere-embed|no description|
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|foundation-models|cohere|cohere_faiss_langchain_embed|no description|
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|foundation-models|cohere|command_faiss_langchain|no description|
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|foundation-models|cohere|command_tools-langchain|no description|
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|foundation-models|cohere|langchain|no description|
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|foundation-models|cohere|litellm|no description|
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|foundation-models|cohere|openaisdk|no description|
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|foundation-models|cohere|webrequests|no description|
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|foundation-models|azure_openai|openai_chat_finetune_pipeline|no description|
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|foundation-models|huggingface|text-generation-streaming-online-endpoint|no description|
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|foundation-models|system|fill-mask|no description|
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|foundation-models|system|image-multiclass-classification|no description|
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|foundation-models|system|image-multilabel-classification|no description|
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|foundation-models|system|image-instance-segmentation|no description|
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|foundation-models|system|image-object-detection|no description|
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|foundation-models|system|question-answering|no description|
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|foundation-models|system|abstractive-and-extractive-summarization|no description|
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|foundation-models|system|entailment-contradiction|no description|
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|foundation-models|system|sentiment-analysis|no description|
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|foundation-models|system|text-generation|no description|
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|foundation-models|system|news-articles-entity-recognition|no description|
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|foundation-models|system|translation-romanian-to-english|no description|
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|foundation-models|system|emotion-detection-llama-multinode-serverless|no description|
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|foundation-models|system|emotion-detection-llama-multinode|no description|
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|foundation-models|system|emotion-detection-llama-serverless-compute|no description|
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|foundation-models|system|emotion-detection-llama|no description|
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|foundation-models|system|abstractive_qna_with_text_gen|no description|
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|foundation-models|system|summarization_with_text_gen|no description|
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|foundation-models|system|hftransformers-fridgeobjects-multiclass-classification|no description|
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|foundation-models|system|hftransformers-fridgeobjects-multilabel-classification|no description|
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|foundation-models|system|mmdetection-fridgeobjects-instance-segmentation|no description|
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|foundation-models|system|mmdetection-fridgeobjects-object-detection|no description|
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|foundation-models|system|common|no description|
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|foundation-models|system|extractive-qa|no description|
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|foundation-models|system|summarization_with_text_gen|no description|
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|foundation-models|system|news-summary|no description|
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|foundation-models|system|emotion-detection|no description|
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|foundation-models|system|token-classification|no description|
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|foundation-models|system|translation|no description|
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|foundation-models|system|mmtracking-video-multi-object-tracking|no description|
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|foundation-models|system|import_mmdetection_model_into_registry|no description|
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|foundation-models|system|import_model_into_registry|no description|
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|foundation-models|system|asr-batch-endpoint|no description|
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|foundation-models|system|asr-online-endpoint|no description|
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|foundation-models|system|fill-mask-batch-endpoint|no description|
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|foundation-models|system|fill-mask-online-endpoint-oss|no description|
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|foundation-models|system|fill-mask-online-endpoint|no description|
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|foundation-models|system|image-classification-batch-endpoint|no description|
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|foundation-models|system|image-classification-online-endpoint|no description|
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|foundation-models|system|image-instance-segmentation-batch-endpoint|no description|
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|foundation-models|system|image-instance-segmentation-online-endpoint|no description|
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|foundation-models|system|image-object-detection-batch-endpoint|no description|
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|foundation-models|system|image-object-detection-online-endpoint|no description|
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|foundation-models|system|image-text-embeddings-batch-endpoint|no description|
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|foundation-models|system|image-text-embeddings-online-endpoint|no description|
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|foundation-models|system|text-to-image-retrieval|no description|
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|foundation-models|system|image-to-text-batch-endpoint|no description|
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|foundation-models|system|image-to-text-online-endpoint|no description|
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|foundation-models|system|mask-generation-batch-endpoint|no description|
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|foundation-models|system|mask-generation-online-endpoint|no description|
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|foundation-models|system|question-answering-batch-endpoint|no description|
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|foundation-models|system|question-answering-online-endpoint-oss|no description|
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|foundation-models|system|question-answering-online-endpoint|no description|
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|foundation-models|system|summarization-batch-endpoint|no description|
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|foundation-models|system|summarization-online-endpoint|no description|
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|foundation-models|system|entailment-contradiction-batch|no description|
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|foundation-models|system|text-classification-online-endpoint-oss|no description|
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|foundation-models|system|text-classification-online-endpoint|no description|
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|foundation-models|system|aacs-prepare-uai|no description|
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|foundation-models|system|falcon-safe-online-deployment|no description|
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|foundation-models|system|llama-safe-batch-deployment|no description|
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|foundation-models|system|llama-safe-online-deployment|no description|
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|foundation-models|system|text-generation-batch-endpoint|no description|
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|foundation-models|system|text-generation-online-endpoint-dolly|no description|
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|foundation-models|system|text-generation-online-endpoint-oss|no description|
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|foundation-models|system|text-generation-online-endpoint|no description|
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|foundation-models|system|aacs-prepare-uai|no description|
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|foundation-models|system|image-text-to-image-batch-endpoint|no description|
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|foundation-models|system|image-text-to-image-online-endpoint|no description|
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|foundation-models|system|safe-image-text-to-image-batch-deployment|no description|
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|foundation-models|system|safe-image-text-to-image-online-endpoint|no description|
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|foundation-models|system|safe-text-to-image-batch-deployment|no description|
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|foundation-models|system|safe-text-to-image-inpainting-batch-deployment|no description|
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|foundation-models|system|safe-text-to-image-inpainting-online-endpoint|no description|
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|foundation-models|system|safe-text-to-image-online-deployment|no description|
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|foundation-models|system|text-to-image-batch-endpoint|no description|
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|foundation-models|system|text-to-image-inpainting-batch-endpoint|no description|
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|foundation-models|system|text-to-image-inpainting-online-endpoint|no description|
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|foundation-models|system|text-to-image-online-endpoint|no description|
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|foundation-models|system|token-classification-batch-endpoint|no description|
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|foundation-models|system|token-classification-online-endpoint-oss|no description|
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|foundation-models|system|token-classification-online-endpoint|no description|
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|foundation-models|system|translation-batch-endpoint|no description|
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|foundation-models|system|translation-online-endpoint-oss|no description|
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|foundation-models|system|translation-online-endpoint|no description|
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|foundation-models|system|video-multi-object-tracking-online-endpoint|no description|
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|foundation-models|system|visual-question-answering-batch-endpoint|no description|
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|foundation-models|system|visual-question-answering-online-endpoint|no description|
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|foundation-models|system|zero-shot-image-classification-batch-endpoint|no description|
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|foundation-models|system|zero-shot-image-classification-online-endpoint|no description|
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|generative-ai|promptflow|create_faiss_index|no description|
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|generative-ai|rag|test|no description|
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|generative-ai|rag|acs_mlindex_with_langchain|no description|
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|generative-ai|rag|s3_to_acs_mlindex_with_langchain|no description|
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|generative-ai|rag|crack_pdfs_with_azure_document_intelligence|no description|
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|generative-ai|rag|db_copilot_with_rag|no description|
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|generative-ai|rag|faiss_mlindex_with_langchain|no description|
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|generative-ai|rag|scheduled_update_faiss_index|no description|
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|generative-ai|rag|url_to_faiss_incremental_embeddings_with_tabular_data|no description|
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|generative-ai|rag|mlindex_with_testgen|no description|
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|generative-ai|rag|mlindex_with_testgen_autoprompt|no description|
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|generative-ai|rag|pinecone_mlindex_with_langchain|no description|
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|generative-ai|rag|s3_to_pinecone_mlindex_with_langchain|no description|
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|generative-ai|rag|qa_data_generation|no description|
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|jobs|automl-standalone-jobs|script_run_notebook|no description|
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|jobs|automl-standalone-jobs|automl-classification-task-bankmarketing-serverless|no description|
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|jobs|automl-standalone-jobs|automl-classification-task-bankmarketing|no description|
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|jobs|automl-standalone-jobs|mlflow-model-local-inference-test|no description - This sample is excluded from automated tests|
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|jobs|automl-standalone-jobs|automl-forecasting-distributed-tcn|no description|
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|jobs|automl-standalone-jobs|auto-ml-forecasting-github-dau|no description|
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|jobs|automl-standalone-jobs|automl-forecasting-orange-juice-sales-mlflow|no description|
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|jobs|automl-standalone-jobs|automl-forecasting-recipe-univariate-experiment-settings|no description|
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|jobs|automl-standalone-jobs|automl-forecasting-recipe-univariate-run|no description|
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|jobs|automl-standalone-jobs|auto-ml-forecasting-bike-share|no description|
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|jobs|automl-standalone-jobs|automl-forecasting-task-energy-demand-advanced-mlflow|no description|
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|jobs|automl-standalone-jobs|automl-forecasting-task-energy-demand-advanced|no description|
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|jobs|automl-standalone-jobs|mlflow-model-local-inference-test|no description - This sample is excluded from automated tests|
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|jobs|automl-standalone-jobs|automl-image-classification-multiclass-task-fridge-items|no description|
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|jobs|automl-standalone-jobs|mlflow-model-local-inference-test|no description - This sample is excluded from automated tests|
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|jobs|automl-standalone-jobs|automl-image-classification-multilabel-task-fridge-items|no description|
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|jobs|automl-standalone-jobs|mlflow-model-local-inference-test|no description - This sample is excluded from automated tests|
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|jobs|automl-standalone-jobs|automl-image-instance-segmentation-task-fridge-items|no description|
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|jobs|automl-standalone-jobs|mlflow-model-local-inference-test|no description - This sample is excluded from automated tests|
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|jobs|automl-standalone-jobs|odFridgeObjects_jsonl2coco|no description|
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|jobs|automl-standalone-jobs|image-object-detection-batch-scoring-non-mlflow-model|no description|
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|jobs|automl-standalone-jobs|automl-image-object-detection-task-fridge-items|no description|
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|jobs|automl-standalone-jobs|mlflow-model-local-inference-test|no description - This sample is excluded from automated tests|
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|jobs|automl-standalone-jobs|automl-nlp-multiclass-sentiment-mlflow|no description|
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|jobs|automl-standalone-jobs|automl-nlp-multiclass-sentiment|no description|
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|jobs|automl-standalone-jobs|mlflow-model-local-inference-test|no description - This sample is excluded from automated tests|
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|jobs|automl-standalone-jobs|automl-nlp-multilabel-paper-cat|no description|
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|jobs|automl-standalone-jobs|automl-nlp-text-ner-task-distributed-with-sweeping|no description|
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|jobs|automl-standalone-jobs|automl-nlp-text-ner-task|no description|
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|jobs|automl-standalone-jobs|automl-regression-task-hardware-performance|no description|
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|jobs|configuration.ipynb|configuration|Setting up your Azure Machine Learning services workspace and configuring needed resources|
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|jobs|multicloud-configuration.ipynb|multicloud-configuration|Setting up your Azure Machine Learning services workspace and configuring needed resources - This sample is excluded from automated tests|
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|jobs|parallel|oj_sales_prediction|Create pipeline with parallel node to do batch inference|
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|jobs|parallel|iris_batch_prediction|Create pipeline with parallel node to do batch inference|
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|jobs|parallel|mnist_batch_prediction|Create pipeline with parallel node to do batch inference|
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|jobs|pipelines|pipeline_with_components_from_yaml|Create pipeline with CommandComponents from local YAML file|
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|jobs|pipelines|pipeline_with_components_from_yaml_serverless|Create pipeline with CommandComponents from local YAML file|
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|jobs|pipelines|pipeline_with_python_function_components|Create pipeline with command_component decorator|
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|jobs|pipelines|pipeline_with_hyperparameter_sweep|Use sweep (hyperdrive) in pipeline to train mnist model using tensorflow|
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|jobs|pipelines|pipeline_with_non_python_components|Create a pipeline with command function|
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|jobs|pipelines|pipeline_with_registered_components|Register component and then use these components to build pipeline|
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|jobs|pipelines|pipeline_with_parallel_nodes|Create pipeline with parallel node to do batch inference|
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|jobs|pipelines|automl-classification-bankmarketing-in-pipeline|Create pipeline with automl node|
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|jobs|pipelines|automl-forecasting-in-pipeline|no description|
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|jobs|pipelines|automl-image-classification-multiclass-in-pipeline|Create pipeline with automl node|
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|jobs|pipelines|automl-image-classification-multilabel-in-pipeline|Create pipeline with automl node|
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|jobs|pipelines|automl-image-instance-segmentation-in-pipeline|Create pipeline with automl node|
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|jobs|pipelines|automl-image-object-detection-in-pipeline|Create pipeline with automl node|
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|jobs|pipelines|automl-regression-house-pricing-in-pipeline|Create pipeline with automl node|
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|jobs|pipelines|automl-text-classification-in-pipeline|Create pipeline with automl node|
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|jobs|pipelines|automl-text-classification-multilabel-in-pipeline|Create pipeline with automl node|
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|jobs|pipelines|automl-text-ner-named-entity-recognition-in-pipeline|Create pipeline with automl node|
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|jobs|pipelines|pipeline_with_spark_nodes|Create pipeline with spark node|
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|jobs|pipelines|nyc_taxi_data_regression_with_pipeline_component|Create pipeline with CommandComponents from local YAML file|
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|jobs|pipelines|pipeline_with_train_eval_pipeline_component|Create pipeline with CommandComponents from local YAML file|
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|jobs|pipelines|automl-forecasting-demand-hts|no description|
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|jobs|pipelines|automl-forecasting-demand-many-models-in-pipeline|no description|
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|jobs|pipelines|flow_in_pipeline|Create pipeline using components to run a distributed job with tensorflow|
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|jobs|pipelines|train_mnist_with_tensorflow|Create pipeline using components to run a distributed job with tensorflow|
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|jobs|pipelines|train_cifar_10_with_pytorch|Get data, train and evaluate a model in pipeline with Components|
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|jobs|pipelines|nyc_taxi_data_regression|Build pipeline with components for 5 jobs - prep data, transform data, train model, predict results and evaluate model performance|
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|jobs|pipelines|image_classification_with_densenet|Create pipeline to train cnn image classification model|
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|jobs|pipelines|image_classification_keras_minist_convnet|Create pipeline to train cnn image classification model with keras|
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|jobs|pipelines|stepsequence|Create pipeline demonstrating multi-step execution with dummy inputs/outputs, replicating AzureML SDK v1 step sequence behavior|
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|jobs|single-step|lightgbm-iris-sweep|Run hyperparameter sweep on a Command or CommandComponent|
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|jobs|single-step|tutorial|no description|
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|jobs|single-step|distributed-cifar10|no description|
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|jobs|single-step|train-hyperparameter-tune-deploy-with-pytorch|Train, hyperparameter tune, and deploy a PyTorch model to classify chicken and turkey images to build a deep learning neural network (DNN) based on PyTorch's transfer learning tutorial.|
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|jobs|single-step|train-hyperparameter-tune-with-sklearn|Train and tune a machine learning model using scikit-learn training scripts to build a to classify iris flower images. - This sample is excluded from automated tests|
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|jobs|single-step|tensorflow-mnist-distributed|Run a Distributed Command to train a basic neural network with TensorFlow on the MNIST dataset|
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|jobs|single-step|train-hyperparameter-tune-deploy-with-keras|Train, hyperparameter tune, and deploy a Keras model to classify handwritten digits using a deep neural network (DNN). - This sample is excluded from automated tests|
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|jobs|single-step|train-hyperparameter-tune-deploy-with-tensorflow|Train, hyperparameter tune, and deploy a Tensorflow model to classify handwritten digits using a deep neural network (DNN). - This sample is excluded from automated tests|
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|jobs|spark|run_interactive_session_notebook|no description|
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|jobs|spark|submit_spark_pipeline_jobs|no description|
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|jobs|spark|submit_spark_standalone_jobs|no description|
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|jobs|spark|submit_spark_standalone_jobs_managed_vnet|no description|
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|jobs|finetuning-model-as-a-service|chat-completion|no description|
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|jobs|finetuning-model-as-a-service|text-generation|no description|
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|jobs|finetuning-model-as-a-platform|chat-completion|no description|
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|jobs|finetuning-model-as-a-platform|text-generation|no description|
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|resources|compute|attach_manage_spark_pools|no description|
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|resources|compute|compute|Create compute in Azure ML workspace|
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|resources|connections|connections|no description|
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|resources|datastores|datastore|Create datastores and use in a Command - This sample is excluded from automated tests|
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|resources|registry|registry-create|no description|
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|resources|workspace|workspace|Create Azure ML workspace|
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|responsible-ai|mlflow-deployment-with-explanations|mlflow-deployment-with-explanations|no description|
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|responsible-ai|tabular|responsibleaidashboard-diabetes-decision-making|no description|
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|responsible-ai|tabular|responsibleaidashboard-diabetes-regression-model-debugging|no description|
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|responsible-ai|tabular|responsibleaidashboard-education-student-attrition-classificaton|no description|
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|responsible-ai|tabular|responsibleaidashboard-finance-loan-classification|no description|
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|responsible-ai|tabular|responsibleaidashboard-healthcare-covid-classification|no description|
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|responsible-ai|tabular|responsibleaidashboard-housing-classification-model-debugging|no description|
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|responsible-ai|tabular|responsibleaidashboard-housing-decision-making|no description|
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|responsible-ai|tabular|responsibleaidashboard-programmer-regression-model-debugging|no description|
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|schedules|job-schedule.ipynb|job-schedule|Create a component asset|
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|using-mlflow|deploy|mlflow_sdk_online_endpoints|no description - This sample is excluded from automated tests|
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|using-mlflow|deploy|mlflow_sdk_online_endpoints_progresive|no description - This sample is excluded from automated tests|
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|using-mlflow|deploy|mlflow_sdk_web_service|no description - This sample is excluded from automated tests|
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|using-mlflow|deploy|scoring_to_mlmodel|no description - This sample is excluded from automated tests|
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|using-mlflow|deploy|track_with_databricks_deploy_aml|no description - This sample is excluded from automated tests|
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|using-mlflow|model-management|model_management|no description - This sample is excluded from automated tests|
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|using-mlflow|runs-management|run_history|no description - This sample is excluded from automated tests|
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|using-mlflow|train-and-log|keras_mnist_with_mlflow|no description - This sample is excluded from automated tests|
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|using-mlflow|train-and-log|logging_and_customizing_models|no description - This sample is excluded from automated tests|
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|using-mlflow|train-and-log|xgboost_classification_mlflow|no description - This sample is excluded from automated tests|
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|using-mlflow|train-and-log|xgboost_nested_runs|no description - This sample is excluded from automated tests|
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|using-mlflow|train-and-log|xgboost_service_principal|no description - This sample is excluded from automated tests|
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|using-mlflow|using-rest-api|using_mlflow_rest_api|no description - This sample is excluded from automated tests|
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|using-mltable|delimited-files-example|delimited-files-example|no description|
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|using-mltable|delta-lake-example|delta-lake-example|no description|
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|using-mltable|from-paths-example|from-paths-example|no description|
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|using-mltable|local-to-cloud|mltable-local-to-cloud|no description|
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|using-mltable|quickstart|mltable-quickstart|no description|
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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.