deepy/trainers/annealers.py
def invoke(self):
        """
        Run it, return whether to end training.
        """
        self._iter += 1
        logging.info("{} epochs left to run".format(self._patience - self._iter))
        if self._iter >= self._patience:
            self._trainer.exit()
def invoke(self):
        """
        Run it, return whether to end training.
        """
        self._iter += 1
        logging.info("{} epochs left to run".format(self._patience - self._iter))
        if self._iter >= self._patience:
            self._trainer.exit()
def invoke ( self ) : self . _iter += 1 logging . info ( "{} epochs left to run" . format ( self . _patience - self . _iter ) ) if self . _iter >= self . _patience : self . _trainer . exit ( )
Run it, return whether to end training.
Run it return whether to end training .