tf.keras.callbacks.History     View source on GitHub    Callback that records events into a History object. Inherits From: Callback  View aliases  Compat aliases for migration 
See Migration guide for more details. tf.compat.v1.keras.callbacks.History, `tf.compat.v2.keras.callbacks.History`  
tf.keras.callbacks.History()
 This callback is automatically applied to every Keras model. The History object gets returned by the fit method of models. 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_.    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.
 


 Arguments
  batch   integer, index of batch within the current epoch.  
  logs   dict. Has keys batch and size representing the current batch number and the size of the batch.    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.
 


 Arguments
  batch   integer, index of batch within the current epoch.  
  logs   dict. Metric results for 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.
 


 Arguments
  batch   integer, index of batch within the current epoch.  
  logs   dict. Has keys batch and size representing the current batch number and the size of the batch.    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.
 


 Arguments
  batch   integer, index of batch within the current epoch.  
  logs   dict. Metric results for 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 no data 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.
 


 Arguments
  batch   integer, index of batch within the current epoch.  
  logs   dict. Has keys batch and size representing the current batch number and the size of the batch.    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.
 


 Arguments
  batch   integer, index of batch within the current epoch.  
  logs   dict. Metric results for 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 no data 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
)
  

    
{'path': 'public/docs/tensorflow~1.15/keras/callbacks/history.html', 'source': 'DevDocs.IO'}