Table Of Contents
Table Of Contents

mxnet.callback

Callback functions that can be used to track various status during epoch.

Functions

do_checkpoint(prefix[, period])

A callback that saves a model checkpoint every few epochs.

log_train_metric(period[, auto_reset])

Callback to log the training evaluation result every period.

module_checkpoint(mod, prefix[, period, …])

Callback to checkpoint Module to prefix every epoch.

Classes

LogValidationMetricsCallback

Just logs the eval metrics at the end of an epoch.

ProgressBar(total[, length])

Displays a progress bar, indicating the percentage of batches processed within each epoch.

Speedometer(batch_size[, frequent, auto_reset])

Logs training speed and evaluation metrics periodically.