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tf.keras.callbacks.CSVLogger

Callback that streams epoch results to a CSV file.

Inherits From: Callback

tf.keras.callbacks.CSVLogger(
    filename, separator=',', append=False
)

Supports all values that can be represented as a string, including 1D iterables such as np.ndarray.

Example:

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 Boolean. True: append if file exists (useful for continuing training). False: overwrite existing file.

Methods

set_model

View source

set_model(
    model
)

set_params

View source

set_params(
    params
)

© 2020 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/versions/r2.4/api_docs/python/tf/keras/callbacks/CSVLogger