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06-06-2023 06:50 AM
Hi everybody,
I have a scenario where we have multiple teams working with Python and R, and this teams uses a lot of different libraries.
Because of this dozen of libraries, the cluster start took much time. Then I created a Docker image, where I can install all the libraries that we need, for both Python and R.
It works fine, the cluster start isn't a problem anymore. But now, MLFlow experiment doesn't working any more, it saves data in a path like "/tmp/Rserv", and we can't see on the IU Experments anymore.
How can I do to have my libraries on this Docker image, but having access to the experiments on the UI on Databricks?
Labels:
- Labels:
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Cluster Start
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MLflow Experiments
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Python