graphinvent/Workflow.py
def load_training_set_properties(self) -> None:
        """
        Loads the training sets properties from CSV into a dictionary. The
        training set properties are used during model evaluation.
        """
        filename           = self.constants.training_set[:-3] + "csv"
        self.ts_properties = util.load_ts_properties(csv_path=filename)

        Loads the training sets properties from CSV into a dictionary. The
        training set properties are used during model evaluation.
        
Loads the training sets properties from CSV into a dictionary. The
training set properties are used during model evaluation.
Loads the training sets properties from CSV into a dictionary . The training set properties are used during model evaluation .
def load_training_set_properties(self) -> None:
        filename           = self.constants.training_set[:-3] + "csv"
        self.ts_properties = util.load_ts_properties(csv_path=filename)
def load_training_set_properties ( self ) -> None : filename = self . constants . training_set [ : - 3 ] + "csv" self . ts_properties = util . load_ts_properties ( csv_path = filename )
Loads the training sets properties from CSV into a dictionary.
Loads the training sets properties from CSV into a dictionary .
"""
        Loads the training sets properties from CSV into a dictionary. The
        training set properties are used during model evaluation.
        """
self