synthesized3.model.callbacks package#

class synthesized3.model.callbacks.GarbageCollector#

Bases: Callback

Callback that calls the garbage collector every 10th epoch

on_epoch_end(epoch, logs=None)#

Called at the end of an epoch.

Subclasses should override for any actions to run. This function should only be called during TRAIN mode.

Parameters:

epoch – Integer, index of epoch.
logs – Dict, metric results for this training epoch, and for the validation epoch if validation is performed. Validation result keys are prefixed with val_. For training epoch, the values of the Model’s metrics are returned. Example: {‘loss’: 0.2, ‘accuracy’: 0.7}.

class synthesized3.model.callbacks.ProgressManager#

Bases: Callback

Early stopping callback to be used during training of deep models.

Parameters:: verbose (int) – verbosity level of training progress callback

__init__(monitor: str = 'loss', verbose: int = 1)#

on_epoch_begin(epoch, logs=None)#

Called at the start of an epoch.

Subclasses should override for any actions to run. This function should only be called during TRAIN mode.

Parameters:

epoch – Integer, index of epoch.
logs – Dict. Currently no data is passed to this argument for this method but that may change in the future.

on_train_batch_end(batch, logs=None)#

Called at the end of a training batch in fit methods.

Subclasses should override for any actions to run.

Note that if the steps_per_execution argument to compile in tf.keras.Model is set to N, this method will only be called every N batches.

Parameters:

batch – Integer, index of batch within the current epoch.
logs – Dict. Aggregated metric results up until this batch.

on_epoch_end(epoch, logs=None)#

Called at the end of an epoch.

Subclasses should override for any actions to run. This function should only be called during TRAIN mode.

Parameters:

epoch – Integer, index of epoch.
logs – Dict, metric results for this training epoch, and for the validation epoch if validation is performed. Validation result keys are prefixed with val_. For training epoch, the values of the Model’s metrics are returned. Example: {‘loss’: 0.2, ‘accuracy’: 0.7}.

on_train_end(logs=None)#

Called at the end of training.

Subclasses should override for any actions to run.

Parameters:: logs – Dict. Currently the output of the last call to on_epoch_end() is passed to this argument for this method but that may change in the future.

Submodules#

synthesized3.model.callbacks.garbage_collector module#

class synthesized3.model.callbacks.garbage_collector.GarbageCollector#

Bases: Callback

Callback that calls the garbage collector every 10th epoch

on_epoch_end(epoch, logs=None)#

Called at the end of an epoch.

Subclasses should override for any actions to run. This function should only be called during TRAIN mode.

Parameters:

epoch – Integer, index of epoch.
logs – Dict, metric results for this training epoch, and for the validation epoch if validation is performed. Validation result keys are prefixed with val_. For training epoch, the values of the Model’s metrics are returned. Example: {‘loss’: 0.2, ‘accuracy’: 0.7}.

synthesized3.model.callbacks.progress_manager module#

class synthesized3.model.callbacks.progress_manager.ProgressManager#

Bases: Callback

Early stopping callback to be used during training of deep models.

Parameters:: verbose (int) – verbosity level of training progress callback

__init__(monitor: str = 'loss', verbose: int = 1)#

on_epoch_begin(epoch, logs=None)#

Called at the start of an epoch.

Subclasses should override for any actions to run. This function should only be called during TRAIN mode.

Parameters:

epoch – Integer, index of epoch.
logs – Dict. Currently no data is passed to this argument for this method but that may change in the future.

on_train_batch_end(batch, logs=None)#

Called at the end of a training batch in fit methods.

Subclasses should override for any actions to run.

Note that if the steps_per_execution argument to compile in tf.keras.Model is set to N, this method will only be called every N batches.

Parameters:

batch – Integer, index of batch within the current epoch.
logs – Dict. Aggregated metric results up until this batch.

on_epoch_end(epoch, logs=None)#

Called at the end of an epoch.

Subclasses should override for any actions to run. This function should only be called during TRAIN mode.

Parameters:

epoch – Integer, index of epoch.
logs – Dict, metric results for this training epoch, and for the validation epoch if validation is performed. Validation result keys are prefixed with val_. For training epoch, the values of the Model’s metrics are returned. Example: {‘loss’: 0.2, ‘accuracy’: 0.7}.

on_train_end(logs=None)#

Called at the end of training.

Subclasses should override for any actions to run.

Parameters:: logs – Dict. Currently the output of the last call to on_epoch_end() is passed to this argument for this method but that may change in the future.