models/dense_net.py
def run_identifier(self):
        """
        Returns an identifier `str` for the current execution of the algorithm.
        It gives the model's type ('DenseNet' or 'DenseNet-BC'),
        its growth rate k, the dataset that was used,
        and the date and hour at which the execution started.
        """
        return "{}_{}_dataset_{}_growth_rate={}".format(
            self.model_type, self.creation_time, self.dataset_name,
            self.growth_rate)

        Returns an identifier `str` for the current execution of the algorithm.
        It gives the model's type ('DenseNet' or 'DenseNet-BC'),
        its growth rate k, the dataset that was used,
        and the date and hour at which the execution started.
        
Returns an identifier `str` for the current execution of the algorithm.
Returns an identifier ` str ` for the current execution of the algorithm .
def run_identifier(self):
        return "{}_{}_dataset_{}_growth_rate={}".format(
            self.model_type, self.creation_time, self.dataset_name,
            self.growth_rate)
def run_identifier ( self ) : return "{}_{}_dataset_{}_growth_rate={}" . format ( self . model_type , self . creation_time , self . dataset_name , self . growth_rate )
Returns an identifier `str` for the current execution of the algorithm.
Returns an identifier ` str ` for the current execution of the algorithm .
"""
        Returns an identifier `str` for the current execution of the algorithm.
        It gives the model's type ('DenseNet' or 'DenseNet-BC'),
        its growth rate k, the dataset that was used,
        and the date and hour at which the execution started.
        """
self