trw.callbacks.callback_reporting_classification_errors

Module Contents

Classes

CallbackReportingClassificationErrors

Defines a callback function that may be called before training, during training, after training

Functions

select_classification_errors(batch, loss_terms)

Attributes

logger

trw.callbacks.callback_reporting_classification_errors.logger

trw.callbacks.callback_reporting_classification_errors.select_classification_errors(batch, loss_terms)

class trw.callbacks.callback_reporting_classification_errors.CallbackReportingClassificationErrors(max_samples=10, table_name='errors', loss_terms_inclusion=None, feature_exclusions=None, dataset_exclusions=None, split_exclusions=None, clear_previously_exported_samples=True, format='{dataset_name}_{split_name}_s{id}_e{epoch}', reporting_config_keep_last_n_rows=None, reporting_config_subsampling_factor=1.0)

Bases: trw.callbacks.callback.Callback

Defines a callback function that may be called before training, during training, after training

__call__(self, options, history, model, losses, outputs, datasets, datasets_infos, callbacks_per_batch, **kwargs)