María Medina

Use MLflow as logging system

3

[MLflow](https://mlflow.org/) is becoming the most common model management library. Enabling it by default in the template is a requirement as the new AML SDK version will rely on it more...

The template currently uses Microsoft-hosted agents to run pipelines in Azure DevOps, which is the simplest way to run the jobs and very useful to set up a quick MLOps...

Model deployment with Docker image

1

The template currently relies on the azureml SDK to natively deploy the model as a real-time webservice in a selected compute, using `Model.deploy`. A common request from client is to...

Add support for additional option `"none"` for `deployment_type` in the platform CI pipeline. This will skip the call to CD pipeline after bulk runs have finished. Useful in cases where...