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
set_model(
model
)
set_params
set_params(
params
)