Abstract This callback enables tracking of Optuna study in Weights & Biases. The study is tracked as a single experiment run, where all suggested hyperparameters and optimized metrics are logged and plotted as a function of optimizer steps.
APIs WeightsAndBiasesCallback(metric_name: str | Sequence[str] = "value", wandb_kwargs: dict[str, Any] | None = None, as_multirun: bool = False) metric_name: Name assigned to optimized metric. In case of multi-objective optimization, list of names can be passed.