deephyper.contrib.callbacks.csv_extended_logger

deephyper.contrib.callbacks.csv_extended_logger

Classes

CSVExtendedLogger

Callback that streams epoch results to a csv file. Supports all values that can be represented as a string, including 1D iterables such as np.ndarray. Example: `python csv_logger = CSVLogger('training.log') model.fit(X_train, Y_train, callbacks=[csv_logger]) ` :param filename: filename of the csv file, e.g. ‘run/log.csv’. :param separator: string used to separate elements in the csv file. :param append: True: append if file exists (useful for continuing training). False: overwrite existing file,.