callback_tqdm_progress_bar | R Documentation |
TQDM Progress Bar
callback_tqdm_progress_bar( metrics_separator = " - ", overall_bar_format = NULL, epoch_bar_format = "{n_fmt}/{total_fmt}{bar} ETA: {remaining}s - {desc}", update_per_second = 10, leave_epoch_progress = TRUE, leave_overall_progress = TRUE, show_epoch_progress = TRUE, show_overall_progress = TRUE )
metrics_separator |
(string) Custom separator between metrics. Defaults to ' - ' |
overall_bar_format |
(string format) Custom bar format for overall (outer) progress bar, see https://github.com/tqdm/tqdm#parameters for more detail. By default: 'l_barbar n_fmt/total_fmt ETA: remainings, rate_fmtpostfix' |
epoch_bar_format |
(string format) Custom bar format for epoch (inner) progress bar, see https://github.com/tqdm/tqdm#parameters for more detail. |
update_per_second |
(int) Maximum number of updates in the epochs bar per second, this is to prevent small batches from slowing down training. Defaults to 10. |
leave_epoch_progress |
(bool) TRUE to leave epoch progress bars |
leave_overall_progress |
(bool) TRUE to leave overall progress bar |
show_epoch_progress |
(bool) FALSE to hide epoch progress bars |
show_overall_progress |
(bool) FALSE to hide overall progress bar |
TQDM Progress Bar for Tensorflow Keras.
None
## Not run: model %>% fit( x_train, y_train, batch_size = 128, epochs = 4, validation_split = 0.2, verbose = 0, callbacks = callback_tqdm_progress_bar() ) ## End(Not run)
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