src.model.callbacks.callbacksWrapper module

Loss function Wrapper

Use this module to load a custom loss function

src.model.callbacks.callbacksWrapper.Callback_Selector(function, *args, **kwargs)

src.model.callbacks.callbacksWrapper.csvLogger(*args, append: str | bool = False, **kwargs) → CSVLogger

src.model.callbacks.callbacksWrapper.earlyStopping(*args, patience: str | int = 10, min_delta: str | float = 0.0001, restore_best_weights: str | bool = True, **kwargs) → EarlyStopping

src.model.callbacks.callbacksWrapper.modelCheckpoint(*args, save_weights_only: str | bool = True, save_best_only: str | bool = True, **kwargs) → EarlyStopping

src.model.callbacks.callbacksWrapper.tensorBoard(*args, profile_batch: str | int | Tuple[int, int] = 0, **kwargs) → CSVLogger