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981 × Eureka!Ho I wasn't aware of that new implementation, was it introduced silently? I don't remember reading it in the release notes! To answer your question: no, for gcp I used the old version, but for azure I will use this one, maybe send a PR if code is clean 👍
SmugDolphin23 Actually adding agent.python_binary
didn't work, it was not read by the clearml agent (in the logs dumped by the agent, agent.python_binary =
(no value)
I would let the trains team answer this in details, but as a user moving from MLflow to trains, I can share the following insights:
MLflow and trains overlap when it comes to having a system with nice web UI to compare/log experiments/models/metrics. But MFlow lacks a crutial feature IMO which is ML/DevOps: Using MLFlow, you will have to take care of the whole maintenance of your machines, design interactions between them, etc. This is where trains shines, it provides these features out-of-t...