def as_tuning_range(self, name):
        """Represent the parameter range as a dicionary suitable for a request to
        create an Amazon SageMaker hyperparameter tuning job.

        Args:
            name (str): The name of the hyperparameter.

        Returns:
            dict[str, str]: A dictionary that contains the name and values of the hyperparameter.
        """
        return {'Name': name,
                'MinValue': to_str(self.min_value),
                'MaxValue': to_str(self.max_value),
                'ScalingType': self.scaling_type}
def as_tuning_range ( self , name ) : return { 'Name' : name , 'MinValue' : to_str ( self . min_value ) , 'MaxValue' : to_str ( self . max_value ) , 'ScalingType' : self . scaling_type }
Represent the parameter range as a dicionary suitable for a request to
        create an Amazon SageMaker hyperparameter tuning job.

        Args:
            name (str): The name of the hyperparameter.

        Returns:
            dict[str, str]: A dictionary that contains the name and values of the hyperparameter.