def best_configuration(self):
    'Get the configuration of parameters that produced the best value of\n        the objective function.\n\n        Returns:\n            dictionary: A dictionary containing a detailed view of the\n                configuration of model parameters that produced the maximal\n                value of the metric. This includes the date the observation was\n                created, the value of the metric, and the configuration itself.\n        '
    post_data = {'auth_token': self.auth_token, 'experiment_id': self.experiment_id}
    result = requests.post(url=self.base_url.format('best_configuration'), json=post_data)
    return json_parser(result, self.auth_token)
Get the configuration of parameters that produced the best value of
the objective function.

Returns:
    dictionary: A dictionary containing a detailed view of the
        configuration of model parameters that produced the maximal
        value of the metric. This includes the date the observation was
        created, the value of the metric, and the configuration itself.
def best_configuration(self):
    'Get the configuration of parameters that produced the best value of\n        the objective function.\n\n        Returns:\n            dictionary: A dictionary containing a detailed view of the\n                configuration of model parameters that produced the maximal\n                value of the metric. This includes the date the observation was\n                created, the value of the metric, and the configuration itself.\n        '
    post_data = {'auth_token': self.auth_token, 'experiment_id': self.experiment_id}
    result = requests.post(url=self.base_url.format('best_configuration'), json=post_data)
    return json_parser(result, self.auth_token)