Hi , how can I run jupiter +yaml . my goal to test data that are located in s3 I will very glad to link/doc/advice

hi Lior! Take a look at the Metaflow documentation for starters

thanks I understood about s3 , but how can deploy the Jupiter/vs code?

do you want to deploy a Jupyter notebook so that it runs automatically e.g. at a predetermined time?

lets begin on how I deploy the ml model? thanks

you can use a production scheduler like Argo Workflows or Step Functions to retrain your models regularly. If your predictions don't depend on real-time data, you can produce fresh predictions similarly, so that's all you have to do to deploy models. If your predictions depend on real-time data, you can train your model like above and then deploy to a model hosting environment of your choice like Seldon, Sagemaker etc. See this recent thread for details