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App version: 3.4.11

Create a detached run

To create a run that's not part of an experiment lineage, use the Run constructor and omit the experiment_name parameter:

from neptune_scale import Run


if __name__ == "__main__":
    run = Run()

The line if __name__ == "__main__": ensures safe importing of the main module. For details, see the Python documentation.

tip

To take advantage of forking and analysis of full run history, create an experiment rather than a detached run.

Then, to track metadata, call a logging method on the Run object:

for step in epoch:
    # your training loop
    acc = ...
    loss = ...

    run.log_metrics(
        data={"metrics/accuracy": acc, "metrics/loss": loss},
        step=1,
    )

To get a link to the run in the Neptune web app:

from neptune_scale import Run


run = Run(...)
run.get_run_url()

For details, see Construct Neptune URLs.

Set custom run ID​

To override the auto-generated run identifier with a custom one, pass a string to the run_id argument:

run = Run(run_id="astute-kittiwake-23")

The custom run ID provided to the run_id argument must be unique within the project. It can't contain the / character.

View runs in the app​

In the All runs tab, by default, Neptune displays the latest run of each experiment.

To show all runs, switch from Experiments to Runs:

All runs tab in the Neptune app with a highlighted button for switching between all runs and experiment runs.

You can save your table configuration as a custom view, which makes it easier to work on the runs later.

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