deephyper.keras.callbacks.csv_extended_logger.CSVExtendedLogger
deephyper.keras.callbacks.csv_extended_logger.CSVExtendedLogger#
-
class
deephyper.keras.callbacks.csv_extended_logger.
CSVExtendedLogger
(*args: Any, **kwargs: Any)[source]# Bases:
tensorflow.keras.callbacks.
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:
csv_logger = CSVLogger('training.log') model.fit(X_train, Y_train, callbacks=[csv_logger])
- Parameters
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
on_epoch_begin
on_epoch_end
on_train_begin
on_train_end
-
__call__
(*args: Any, **kwargs: Any) → Any# Call self as a function.