docs: def get_url_image_prediction(self, model_id, picture_url, token=None, url=API_GET_PREDICTION_IMAGE_URL):
          """ Gets a prediction from a supplied picture url based on a previously trained model.
              :param model_id: string, once you train a model you'll be given a model id to use.
              :param picture_url: string, in the form of a url pointing to a publicly accessible
              image file.
              returns: requests object 
          """
          auth = 'Bearer ' + self.check_for_token(token)
          m = MultipartEncoder(fields={'sampleLocation':picture_url, 'modelId':model_id})
          h = {'Authorization': auth, 'Cache-Control':'no-cache', 'Content-Type':m.content_type}
          the_url = url
          r = requests.post(the_url, headers=h, data=m)
  
          return r