Python PredictionServiceClient.model_pathの例

コード例 #1

ファイル: test_automl.py プロジェクト: bomboradata/bombora-incubator-airflow

TASK_ID = "test-automl-hook"
GCP_PROJECT_ID = "test-project"
GCP_LOCATION = "test-location"
MODEL_NAME = "test_model"
MODEL_ID = "projects/198907790164/locations/us-central1/models/TBL9195602771183665152"
DATASET_ID = "TBL123456789"
MODEL = {
    "display_name": MODEL_NAME,
    "dataset_id": DATASET_ID,
    "tables_model_metadata": {
        "train_budget_milli_node_hours": 1000
    },
}

LOCATION_PATH = AutoMlClient.location_path(GCP_PROJECT_ID, GCP_LOCATION)
MODEL_PATH = PredictionServiceClient.model_path(GCP_PROJECT_ID, GCP_LOCATION,
                                                MODEL_ID)

INPUT_CONFIG = {"input": "value"}
OUTPUT_CONFIG = {"output": "value"}
PAYLOAD = {"test": "payload"}
DATASET = {"dataset_id": "data"}
MASK = {"field": "mask"}


class TestAutoMLTrainModelOperator(unittest.TestCase):
    @mock.patch(
        "airflow.gcp.operators.automl.AutoMLTrainModelOperator.xcom_push")
    @mock.patch("airflow.gcp.hooks.automl.CloudAutoMLHook.create_model")
    @mock.patch(
        "airflow.gcp.hooks.automl.CloudAutoMLHook.extract_object_id",
        return_value=MODEL_ID,

コード例 #2

ファイル: model_provider.py プロジェクト: datautvikling/nace-predictor

 def __init__(self, project, location, automl_model_name):
     # The default client behaviour excepts a global model, set the specific EU endpoint for EU models
     self.client = PredictionServiceClient(client_options={"api_endpoint": "eu-automl.googleapis.com:443"})
     self.path = PredictionServiceClient.model_path(project, location, automl_model_name)