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A comment on MLflow: An Open Source Machine Learning Platform. Parent comment

Re:MLflow: An Open Source Machine Learning Platform by __bee on Tuesday June 05, 2018 @07:31PM (#17243114)
How about SageMaker, Can we include it in this list. I played with SageMaker sometime ago and it helps you build a whole pipeline to host your models, in addition to host your notebook and bridge the gap between data scientists and data engineers.
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Re:MLflow: An Open Source Machine Learning Platform by brylie on Wednesday June 06, 2018 @12:35AM (#17244379)
Anecdotally, we considered using the hosted versions of Jupyter and Apache Zeppelin that are part of AWS SageMaker and EMR. We couldn't figure out a simple/familiar workflow for keeping the notebooks under version control. So, we agreed to run the notebooks locally, use a familiar Git-based workflow, and interact with the AWS infrastructure through the local notebook instances.
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Re:MLflow: An Open Source Machine Learning Platform by garysieling on Wednesday June 06, 2018 @07:45AM (#17246176)
Does Zeppelin work naturally with git? I've been struggling to get the right setup with just Jupyter
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Re:MLflow: An Open Source Machine Learning Platform by brylie on Saturday June 09, 2018 @04:08AM (#17272059)
Well, good question. The file format for Jupyter is not ideal for 'code craftsmanship', as pointed out by another comment. There are utilities to strip out some of the metadata from the Jupyter files, such as rendered output and run counters, but that is a trade-off to be decided by your team:

https://github.com/kynan/nbstripout

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