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* serverless samples * Update cli-automl-classification-task-bankmarketing-serverless.yml * Create automl-classification-task-bankmarketing-serverless.ipynb * Update automl-classification-task-bankmarketing-serverless.ipynb * Update automl-classification-task-bankmarketing-serverless.ipynb * Update automl-classification-task-bankmarketing-serverless.ipynb * Update automl-classification-task-bankmarketing-serverless.ipynb * Create pipeline-serverless.yml * Create pipeline_with_components_from_yaml_serverless.ipynb * Update pipeline_with_components_from_yaml_serverless.ipynb * Update pipeline_with_components_from_yaml_serverless.ipynb * add metadata to notebook cell * Update azureml-in-a-day.ipynb * Update azureml-in-a-day.ipynb * Update azureml-in-a-day.ipynb * Update e2e-ml-workflow.ipynb * Update e2e-ml-workflow.ipynb * Update quickstart.ipynb * Update quickstart.ipynb * Update quickstart.ipynb * Update quickstart.ipynb * Update quickstart.ipynb * Update quickstart.ipynb * Update quickstart.ipynb * Update train-model.ipynb * Update train-model.ipynb * Update train-model.ipynb * Update pipeline.ipynb * Update pipeline.ipynb * Update pipeline.ipynb * Update quickstart.ipynb * Update pipeline.ipynb * Update pipeline.ipynb * Update quickstart.ipynb * Update train-model.ipynb * Update train-model.ipynb * Update train-model.ipynb * Update cli-automl-classification-task-bankmarketing-serverless.yml * Update pipeline-serverless.yml * Update hello-code.yml * Update hello-data-uri-folder.yml * Update hello-dataset.yml * Update hello-git.yml * Update hello-interactive.yml * Update hello-iris-datastore-file.yml * Update hello-iris-datastore-folder.yml * Update hello-iris-file.yml * Update hello-iris-folder.yml * Update hello-iris-literal.yml * Update hello-mlflow.yml * Update hello-model-as-input.yml * Update hello-model-as-output.yml * Update hello-notebook.yml * Create hello-pipeline-abc-serverless.yml * Update hello-pipeline-abc-serverless.yml * Create hello-pipeline-customize-output-file-serverless.yml * Update hello-pipeline-customize-output-file-serverless.yml * Create hello-pipeline-customize-output-folder-serverless.yml * Update hello-pipeline-customize-output-file-serverless.yml * Update hello-pipeline-customize-output-folder-serverless.yml * Create hello-pipeline-default-artifacts-serverless.yml * Update hello-pipeline-default-artifacts-serverless.yml * Update hello-pipeline-default-artifacts-serverless.yml * Create hello-pipeline-io-serverless.yml * Update hello-pipeline-io-serverless.yml * Create hello-pipeline-settings-serverless.yml * Update hello-pipeline-settings-serverless.yml * Create hello-pipeline-serverless.yml * Update hello-pipeline-serverless.yml * Update hello-pipeline-serverless.yml * Update hello-world.yml * Update hello-world-output.yml * Update hello-world-output-data.yml * Update hello-world-org.yml * Update hello-world-input.yml * Update hello-world-env-var.yml * Update automl-classification-task-bankmarketing-serverless.ipynb * Update automl-classification-task-bankmarketing-serverless.ipynb * Update automl-classification-task-bankmarketing-serverless.ipynb * Update cli-automl-classification-task-bankmarketing-serverless.yml * Update auto-ml-forecasting-github-dau.ipynb * Update auto-ml-forecasting-github-dau.ipynb * Update auto-ml-forecasting-github-dau.ipynb * Update auto-ml-forecasting-github-dau.ipynb * Update auto-ml-forecasting-github-dau.ipynb * Update auto-ml-forecasting-github-dau.ipynb * Update cli-automl-forecasting-task-github-dau.yml * Update cli-automl-forecasting-orange-juice-sales.yml * Update automl-forecasting-orange-juice-sales-mlflow.ipynb * Update automl-forecasting-orange-juice-sales-mlflow.ipynb * Update automl-forecasting-orange-juice-sales-mlflow.ipynb * Update automl-forecasting-orange-juice-sales-mlflow.ipynb * Update automl-forecasting-orange-juice-sales-mlflow.ipynb * Update automl-forecasting-orange-juice-sales-mlflow.ipynb * Update automl-forecasting-orange-juice-sales-mlflow.ipynb * Update hello-sweep.yml * Update train-model.ipynb * Update e2e-ml-workflow.ipynb * Update hello-automl-job-basic.yml * Update auto-ml-forecasting-github-dau.ipynb * Update auto-ml-forecasting-github-dau.ipynb * Update automl-forecasting-orange-juice-sales-mlflow.ipynb * Update quickstart.ipynb * Update train-model.ipynb * Update pipeline.ipynb * Update auto-ml-forecasting-github-dau.ipynb * Update auto-ml-forecasting-github-dau.ipynb --------- Co-authored-by: Sheri Gilley <sgilley@microsoft.com> |
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.devcontainer | ||
.github | ||
arm-templates | ||
best-practices/largescale-deep-learning | ||
cli | ||
infra | ||
sdk | ||
setup | ||
tutorials | ||
v1 | ||
.gitignore | ||
.gitmodules | ||
.pre-commit-config.yaml | ||
CODE_OF_CONDUCT.md | ||
CONTRIBUTING.md | ||
LICENSE | ||
README.md | ||
SECURITY.md | ||
deploy-arm-templates-az-cli.sh | ||
deploy-arm-templates-rest.sh | ||
dev-requirements.txt |
README.md
page_type | languages | products | description | |||
---|---|---|---|---|---|---|
sample |
|
|
Top-level directory for official Azure Machine Learning sample code and examples. |
Azure Machine Learning examples
Welcome to the Azure Machine Learning examples repository!
Contents
directory | description | |
---|---|---|
.github |
GitHub files like issue templates and actions workflows. | |
cli |
Azure Machine Learning CLI v2 examples. | |
sdk |
Azure Machine Learning SDK v2 examples. | |
python |
Azure Machine Learning Python SDK v2 examples. | |
dotnet |
Azure Machine Learning .Net SDK v2 examples. | |
setup |
Folder with setup scripts | |
setup-ci |
Setup scripts to customize and configure | |
setupdsvm |
Setup RStudio on Data Science Virtual Machine (DSVM) | |
setup-repo |
Setup scripts for Azure/azureml-examples. | |
tutorials |
Azure Machine Learning end to end Python SDK v2 tutorials | |
v1 |
Azure Machine Learning Python SDK v1 examples. | |
python-sdk |
Azure Machine Learning Python SDK v1 examples. | |
notebooks |
Jupyter notebooks with MLflow tracking to an Azure ML workspace. |
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.