An Intro to MLflow and Azure ML

In this video, we look at the MLflow platform, learning what it has to offer. Then, we see how this applies to Azure Machine Learning.
LINKS AND INFO
Catallaxy Services - www.catallaxys...
MLflow - mlflow.org/
MLflow and Azure Machine Learning - learn.microsof...

[@caiyu538]

great lectures

[@juanete69]

Hello.
Is there any difference between deploying from the Models menu or from the Jobs menu?

[@KevinFeasel]

Depending on how you created the model, you might not see the same options when you select the Deploy option under a job run. For example, opening up the training pipeline that I used for this series, I see under Deploy two options: "Deploy" and "Publish (v1)." The "Deploy" option allows me to deploy a batch endpoint.
Meanwhile, if I open the Models page and select the ChicagoParkingTicketsCodeFirst model, its Deploy button lets me create a real-time endpoint, a batch endpoint, or a web service. The settings are a bit different for each as well.