tf.keras.callbacks.CSVLogger

Callback that streams epoch results to a csv file.

Inherits From: Callback

Compat aliases for migration

tf.compat.v1.keras.callbacks.CSVLogger, tf.compat.v2.keras.callbacks.CSVLogger

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.

csv_logger = CSVLogger('training.log')
model.fit(X_train, Y_train, callbacks=[csv_logger])

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(
    model
)

set_params(
    params
)