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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.
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,set_model
set_model(
model
)
set_params
set_params(
params
)