Azure ML pipelines¶
For deployment to Azure ML pipelines, you should consult the documentation for the
kedro-azureml plugin from GetInData | Part of Xebia that enables you to run your code on Azure ML Pipelines in a fully managed fashion.
The plugin supports both: docker-based workflows and code-upload workflows. Besides that, kedro-azureml also supports distributed training in PyTorch/TensorFlow/MPI and works well with Azure ML native MLflow integration.