Resume a run

To continue logging to an existing run, use the Run constructor and:

1. Pass the run identifier to the run_id argument.
2. Set the resume argument to True.
3. Omit the experiment_name argument.

run = Run(
    run_id="SomeExistingRunId",
    resume=True,
)

After resuming a connection to the run, you can continue logging normally.

For example, to add best to the list of tags:

from neptune_scale import Run

run = Run(
    run_id="seagull-s68kj78",
    resume=True,
)

run.add_tags(tags=["best"])

Overwriting existing metadata

Note that calling log_configs() and passing different values for existing attributes will overwrite the previous values.

For details, see Edit run configs.

When logging metrics, previously logged steps are not affected. You can continue logging metrics at any step that's higher than the series' last entry.

Related

For how to restart an experiment at any step, see Fork an experiment.