code: def experiments_predictions_create(self, experiment_id, model_id, argument_defs, name, arguments=None, properties=None):
          
          # Get experiment to ensure that it exists
          if self.experiments_get(experiment_id) is None:
              return None
          # Return created model run
          return self.predictions.create_object(
              name,
              experiment_id,
              model_id,
              argument_defs,
              arguments=arguments,
              properties=properties
          )
docs: Create new model run for given experiment.
  
          Parameters
          ----------
          experiment_id : string
              Unique experiment identifier
          model_id : string
              Unique identifier of model to run
          name : string
              User-provided name for the model run
          argument_defs : list(attribute.AttributeDefinition)
              Definition of valid arguments for the given model
          arguments : list(dict('name':...,'value:...')), optional
              List of attribute instances
          properties : Dictionary, optional
              Set of model run properties.
  
          Returns
          -------
          ModelRunHandle
              Handle for created model run or None if experiment is unknown