gnn-comparison/experiments/Experiment.py
def run_valid(self, get_train_val, logger, other=None):
        """
        This function returns the training and validation or test accuracy
        :return: (training accuracy, validation/test accuracy)
        """
        return random.uniform(0, 100), random.uniform(0, 100)

        This function returns the training and validation or test accuracy
        :return: (training accuracy, validation/test accuracy)
        
This function returns the training and validation or test accuracy
This function returns the training and validation or test accuracy
def run_valid(self, get_train_val, logger, other=None):
        return random.uniform(0, 100), random.uniform(0, 100)
def run_valid ( self , get_train_val , logger , other = None ) : return random . uniform ( 0 , 100 ) , random . uniform ( 0 , 100 )
This function returns the training and validation or test accuracy
This function returns the training and validation or test accuracy
"""
        This function returns the training and validation or test accuracy
        :return: (training accuracy, validation/test accuracy)
        """
(training accuracy, validation/test accuracy)
( training accuracy validation / test accuracy )
self
get_train_val
logger
other