def pending_recommendations(self):
    'Query for pending recommendations that have yet to be evaluated.\n\n        Sometimes client-side computations may fail for a given input\n        configuration of model parameters, leaving the recommendation in a kind\n        of "limbo" state in which is not being evaluated but still exists. In\n        this case, it can be advantageous for the client to query for such\n        pending observations and to evaluate them. This function returns a list\n        of pending recommendations which can then be evaluated by the client.\n\n        Returns:\n            list of RecommendationClient: A list of\n                recommendation client objects, where each element in the list\n                corresponds to a pending observation.\n        '
    post_data = {'auth_token': self.auth_token, 'experiment_id': self.experiment_id}
    result = requests.post(url=self.base_url.format('pending_recommendations'), json=post_data)
    return json_parser(result, self.auth_token, RecommendationClient)
Query for pending recommendations that have yet to be evaluated.

Sometimes client-side computations may fail for a given input
configuration of model parameters, leaving the recommendation in a kind
of "limbo" state in which is not being evaluated but still exists. In
this case, it can be advantageous for the client to query for such
pending observations and to evaluate them. This function returns a list
of pending recommendations which can then be evaluated by the client.

Returns:
    list of RecommendationClient: A list of
        recommendation client objects, where each element in the list
        corresponds to a pending observation.
def pending_recommendations(self):
    'Query for pending recommendations that have yet to be evaluated.\n\n        Sometimes client-side computations may fail for a given input\n        configuration of model parameters, leaving the recommendation in a kind\n        of "limbo" state in which is not being evaluated but still exists. In\n        this case, it can be advantageous for the client to query for such\n        pending observations and to evaluate them. This function returns a list\n        of pending recommendations which can then be evaluated by the client.\n\n        Returns:\n            list of RecommendationClient: A list of\n                recommendation client objects, where each element in the list\n                corresponds to a pending observation.\n        '
    post_data = {'auth_token': self.auth_token, 'experiment_id': self.experiment_id}
    result = requests.post(url=self.base_url.format('pending_recommendations'), json=post_data)
    return json_parser(result, self.auth_token, RecommendationClient)