What will you learn?
How you can reproduce previously tracked experiments in Neptune.
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Fetching the run data in Neptune
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Customizing the runs table
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Resuming the run in Neptune
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Assigning the same data version to the run
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Downloading the hyperparameters from the run
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What will the results look like in the Neptune UI?
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What is the logic for waiting (run.sync()) after doing some commands?
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How to monitor the model through different phases of the MLOps lifecycle?
Check the documentation [how to resume run, querying and downloading metadata]
Couldn’t find the use case you were looking for?
Just get in touch, and our ML team will create a custom demo for you.