Skip to contents

Metrics callback

Source: R/callbacks.R
luz_callback_metrics.Rd

Tracks metrics passed to setup() during training and validation.

Usage

luz_callback_metrics()

Value

A luz_callback

Details

This callback takes care of 2 ctx attributes:

  • ctx$metrics: stores the current metrics objects that are initialized once for epoch, and are further update()d and compute()d every batch. You will rarely need to work with these metrics.

  • ctx$records$metrics: Stores metrics per training/validation and epoch. The structure is very similar to ctx$losses.

Note

In general you won't need to explicitly use the metrics callback as it's used by default in fit.luz_module_generator().

See also

Other luz_callbacks: luz_callback(), 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_mixed_precision(), luz_callback_mixup(), luz_callback_model_checkpoint(), luz_callback_profile(), luz_callback_progress(), luz_callback_resume_from_checkpoint(), luz_callback_train_valid()