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
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.