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tf.keras.callbacks.CSVLogger

TensorFlow 1 version View source on GitHub

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: 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
)