chemicalchecker.tool.siamese.siamese_triplets.AdditionalValidationSets

class AdditionalValidationSets(validation_sets, model, verbose=1, batch_size=None, validation_steps=None)

Bases: Callback

validation_sets(list): list of 3-tuples (val_data, val_targets, val_set_name) or 4-tuples (val_data, val_targets, sample_weights, val_set_name). verbose(int): verbosity mode, 1 or 0. batch_size(int): batch size to be used when evaluating on the additional datasets.

Methods

on_batch_begin	A backwards compatibility alias for on_train_batch_begin.
on_batch_end	A backwards compatibility alias for on_train_batch_end.
on_epoch_begin	Called at the start of an epoch.
on_epoch_end	Called at the end of an epoch.
on_predict_batch_begin	Called at the beginning of a batch in predict methods.
on_predict_batch_end	Called at the end of a batch in predict methods.
on_predict_begin	Called at the beginning of prediction.
on_predict_end	Called at the end of prediction.
on_test_batch_begin	Called at the beginning of a batch in evaluate methods.
on_test_batch_end	Called at the end of a batch in evaluate methods.
on_test_begin	Called at the beginning of evaluation or validation.
on_test_end	Called at the end of evaluation or validation.
on_train_batch_begin	Called at the beginning of a training batch in fit methods.
on_train_batch_end	Called at the end of a training batch in fit methods.
on_train_begin	Called at the beginning of training.
on_train_end	Called at the end of training.
set_model
set_params

on_batch_begin(batch, logs=None)

A backwards compatibility alias for on_train_batch_begin.

on_batch_end(batch, logs=None)

A backwards compatibility alias for on_train_batch_end.

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_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_predict_batch_begin(batch, logs=None)

Called at the beginning of a batch in predict 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. Currently no data is passed to this argument for this method but that may change in the future.

on_predict_batch_end(batch, logs=None)

Called at the end of a batch in predict 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_predict_begin(logs=None)

Called at the beginning of prediction.

Subclasses should override for any actions to run.

Parameters:

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

on_predict_end(logs=None)

Called at the end of prediction.

Subclasses should override for any actions to run.

Parameters:

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

on_test_batch_begin(batch, logs=None)

Called at the beginning of a batch in evaluate methods.

Also called at the beginning of a validation batch in the fit methods, if validation data is provided.

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. Currently no data is passed to this argument for this method but that may change in the future.

on_test_batch_end(batch, logs=None)

Called at the end of a batch in evaluate methods.

Also called at the end of a validation batch in the fit methods, if validation data is provided.

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_test_begin(logs=None)

Called at the beginning of evaluation or validation.

Subclasses should override for any actions to run.

Parameters:

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

on_test_end(logs=None)

Called at the end of evaluation or validation.

Subclasses should override for any actions to run.

Parameters:

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

on_train_batch_begin(batch, logs=None)

Called at the beginning 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. 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_train_begin(logs=None)

Called at the beginning of training.

Subclasses should override for any actions to run.

Parameters:

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

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.