Python Library

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class Artifact: Flexible and lightweight building block for dataset and model versioning.

class Run: A unit of computation logged by wandb. Typically this is an ML experiment.


agent(...): Generic agent entrypoint, used for CLI or jupyter.

config(...): Config object

finish(...): Marks a run as finished, and finishes uploading all data.

init(...): Start a new tracked run with wandb.init().

log(...): Log a dict to the global run's history.

save(...): Ensure all files matching glob_str are synced to wandb with the policy specified.

summary(...): Tracks single values for each metric for each run.

sweep(...): Initialize a hyperparameter sweep.

watch(...): Hooks into the torch model to collect gradients and the topology.

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