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.

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mxnet.callback.do_checkpoint