luz_callback_progress: Progress callback

In mlverse/torchlight: Higher Level 'API' for 'torch'

Progress callback

Description

Responsible for printing progress during training.

Usage

luz_callback_progress()

Value

A luz_callback

Note

In general you don't need to use these callback by yourself because it's always included by default in fit.luz_module_generator().

Printing can be disabled by passing verbose=FALSE to fit.luz_module_generator().

See Also

Other luz_callbacks: luz_callback_auto_resume(), luz_callback_csv_logger(), luz_callback_early_stopping(), luz_callback_interrupt(), luz_callback_keep_best_model(), luz_callback_lr_scheduler(), luz_callback_metrics(), luz_callback_mixed_precision(), luz_callback_mixup(), luz_callback_model_checkpoint(), luz_callback_profile(), luz_callback_resume_from_checkpoint(), luz_callback_train_valid(), luz_callback()

mlverse/torchlight documentation built on Sept. 19, 2024, 11:22 p.m.