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Classes

​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.

Functions

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

​config(...): Config object

​controller(...): Public sweep controller constructor.

​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.