airflow/contrib/hooks/gcp_mlengine_hook.py
def get_model(self, project_id, model_name):
        """
        Gets a Model. Blocks until finished.
        """
        if not model_name:
            raise ValueError("Model name must be provided and "
                             "it could not be an empty string")
        full_model_name = 'projects/{}/models/{}'.format(
            project_id, model_name)
        request = self._mlengine.projects().models().get(name=full_model_name)
        try:
            return request.execute()
        except HttpError as e:
            if e.resp.status == 404:
                self.log.error('Model was not found: %s', e)
                return None
            raise
def get_model(self, project_id, model_name):
        if not model_name:
            raise ValueError("Model name must be provided and "
                             "it could not be an empty string")
        full_model_name = 'projects/{}/models/{}'.format(
            project_id, model_name)
        request = self._mlengine.projects().models().get(name=full_model_name)
        try:
            return request.execute()
        except HttpError as e:
            if e.resp.status == 404:
                self.log.error('Model was not found: %s', e)
                return None
            raise
def get_model ( self , project_id , model_name ) : if not model_name : raise ValueError ( "Model name must be provided and " "it could not be an empty string" ) full_model_name = 'projects/{}/models/{}' . format ( project_id , model_name ) request = self . _mlengine . projects ( ) . models ( ) . get ( name = full_model_name ) try : return request . execute ( ) except HttpError as e : if e . resp . status == 404 : self . log . error ( 'Model was not found: %s' , e ) return None raise
Gets a Model. Blocks until finished.
Gets a Model . Blocks until finished .