tf.keras.callbacks.Callback     View source on GitHub    Abstract base class used to build new callbacks.  View aliases  Compat aliases for migration 
See Migration guide for more details. tf.compat.v1.keras.callbacks.Callback  
tf.keras.callbacks.Callback()
 The logs dictionary that callback methods take as argument will contain keys for quantities relevant to the current batch or epoch (see method-specific docstrings).
 


 Attributes
  params   Dict. Training parameters (eg. verbosity, batch size, number of epochs...).  
  model   Instance of keras.models.Model. Reference of the model being trained.    Methods on_batch_begin View source 
on_batch_begin(
    batch, logs=None
)
 A backwards compatibility alias for on_train_batch_begin. on_batch_end View source 
on_batch_end(
    batch, logs=None
)
 A backwards compatibility alias for on_train_batch_end. on_epoch_begin View source 
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.
 


 Arguments
  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 View source 
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.
 


 Arguments
  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, 'acc': 0.7}.    on_predict_batch_begin View source 
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.
 


 Arguments
  batch   Integer, index of batch within the current epoch.  
  logs   Dict, contains the return value of model.predict_step, it typically returns a dict with a key 'outputs' containing the model's outputs.    on_predict_batch_end View source 
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.
 


 Arguments
  batch   Integer, index of batch within the current epoch.  
  logs   Dict. Aggregated metric results up until this batch.    on_predict_begin View source 
on_predict_begin(
    logs=None
)
 Called at the beginning of prediction. Subclasses should override for any actions to run.
 


 Arguments
  logs   Dict. Currently no data is passed to this argument for this method but that may change in the future.    on_predict_end View source 
on_predict_end(
    logs=None
)
 Called at the end of prediction. Subclasses should override for any actions to run.
 


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


 Arguments
  batch   Integer, index of batch within the current epoch.  
  logs   Dict, contains the return value of model.test_step. Typically, the values of the Model's metrics are returned. Example: {'loss': 0.2, 'accuracy': 0.7}.    on_test_batch_end View source 
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.
 


 Arguments
  batch   Integer, index of batch within the current epoch.  
  logs   Dict. Aggregated metric results up until this batch.    on_test_begin View source 
on_test_begin(
    logs=None
)
 Called at the beginning of evaluation or validation. Subclasses should override for any actions to run.
 


 Arguments
  logs   Dict. Currently no data is passed to this argument for this method but that may change in the future.    on_test_end View source 
on_test_end(
    logs=None
)
 Called at the end of evaluation or validation. Subclasses should override for any actions to run.
 


 Arguments
  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 View source 
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.
 


 Arguments
  batch   Integer, index of batch within the current epoch.  
  logs   Dict, contains the return value of model.train_step. Typically, the values of the Model's metrics are returned. Example: {'loss': 0.2, 'accuracy': 0.7}.    on_train_batch_end View source 
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.
 


 Arguments
  batch   Integer, index of batch within the current epoch.  
  logs   Dict. Aggregated metric results up until this batch.    on_train_begin View source 
on_train_begin(
    logs=None
)
 Called at the beginning of training. Subclasses should override for any actions to run.
 


 Arguments
  logs   Dict. Currently no data is passed to this argument for this method but that may change in the future.    on_train_end View source 
on_train_end(
    logs=None
)
 Called at the end of training. Subclasses should override for any actions to run.
 


 Arguments
  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.    set_model View source 
set_model(
    model
)
 set_params View source 
set_params(
    params
)