graphinvent/Workflow.py
def preprocess_train_data(self) -> None:
        """
        Converts training dataset to HDF file format.
        """
        print("* Preprocessing training data.", flush=True)
        train_set_preprocesser = DataProcesser(path=self.constants.training_set,
                                               is_training_set=True)
        train_set_preprocesser.preprocess()

        self.print_time_elapsed()

        Converts training dataset to HDF file format.
        
Converts training dataset to HDF file format.
Converts training dataset to HDF file format .
def preprocess_train_data(self) -> None:
        print("* Preprocessing training data.", flush=True)
        train_set_preprocesser = DataProcesser(path=self.constants.training_set,
                                               is_training_set=True)
        train_set_preprocesser.preprocess()
        self.print_time_elapsed()
def preprocess_train_data ( self ) -> None : print ( "* Preprocessing training data." , flush = True ) train_set_preprocesser = DataProcesser ( path = self . constants . training_set , is_training_set = True ) train_set_preprocesser . preprocess ( ) self . print_time_elapsed ( )
Converts training dataset to HDF file format.
Converts training dataset to HDF file format .
"""
        Converts training dataset to HDF file format.
        """
self