contrib.keras.callbacks.CSVLogger
tf.contrib.keras.callbacks.CSVLogger
class tf.contrib.keras.callbacks.CSVLogger
Defined in tensorflow/contrib/keras/python/keras/callbacks.py
.
Callback that streams epoch results to a csv file.
Supports all values that can be represented as a string, including 1D iterables such as np.ndarray.
Example: python csv_logger = CSVLogger('training.log') model.fit(X_train, Y_train, callbacks=[csv_logger])
Arguments:
filename: filename of the csv file, e.g. 'run/log.csv'. separator: string used to separate elements in the csv file. append: True: append if file exists (useful for continuing training). False: overwrite existing file,
Methods
__init__
__init__( filename, separator=',', append=False )
on_batch_begin
on_batch_begin( batch, logs=None )
on_batch_end
on_batch_end( batch, logs=None )
on_epoch_begin
on_epoch_begin( epoch, logs=None )
on_epoch_end
on_epoch_end( epoch, logs=None )
on_train_begin
on_train_begin(logs=None)
on_train_end
on_train_end(logs=None)
set_model
set_model(model)
set_params
set_params(params)
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/contrib/keras/callbacks/CSVLogger