Decorator used to capture the arguments of a function.

This alternative to joblib.delayed is meant to be used in conjunction with sklearn.utils.parallel.Parallel. The latter captures the scikit- learn configuration by calling sklearn.get_config() in the current thread, prior to dispatching the first task. The captured configuration is then propagated and enabled for the duration of the execution of the delayed function in the joblib workers.

Changed in version 1.3: delayed was moved from sklearn.utils.fixes to sklearn.utils.parallel in scikit-learn 1.3.


The function to be delayed.

output: tuple

Tuple containing the delayed function, the positional arguments, and the keyword arguments.