@classmethod
def get(cls, project_id, job_id, model_id=None, data_subset=None):
    """
        Fetches one training predictions job.

        The resulting
        :py:class:`TrainingPredictions <datarobot.models.training_predictions.TrainingPredictions>`
        object will be annotated with `model_id` and `data_subset`.

        Parameters
        ----------
        project_id : str
            The identifier of the project in which the job resides
        job_id : str
            The job id
        model_id : str
            The identifier of the model used for computing training predictions
        data_subset : dr.enums.DATA_SUBSET, optional
            Data subset used for computing training predictions

        Returns
        -------
        job : TrainingPredictionsJob
            The job
        """
    url = cls._job_path(project_id, job_id)
    data, completed_url = cls._data_and_completed_url_for_job(url)
    return cls(data, model_id=model_id, data_subset=data_subset,
        completed_resource_url=completed_url)
