nntoolbox.callbacks.logger module

class nntoolbox.callbacks.logger.LossLogger(print_every=1000)[source]

Bases: nntoolbox.callbacks.callbacks.Callback

on_batch_end(logs)[source]
class nntoolbox.callbacks.logger.MultipleMetricLogger(iter_metrics: Sequence[str] = [], epoch_metrics: Sequence[str] = [], print_every=1000)[source]

Bases: nntoolbox.callbacks.callbacks.Callback

on_batch_end(logs)[source]
on_epoch_end(logs) → bool[source]
class nntoolbox.callbacks.logger.Tensorboard(every_iter: int = 1, every_epoch: int = 1)[source]

Bases: nntoolbox.callbacks.callbacks.Callback

on_batch_end(logs)[source]
on_epoch_end(logs: Dict[str, Any])[source]