用於 Google ML Engine 服務的範例 Airflow DAG。
模組內容
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tests.system.google.cloud.ml_engine.example_mlengine.PROJECT_ID[原始碼]
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tests.system.google.cloud.ml_engine.example_mlengine.ENV_ID[原始碼]
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tests.system.google.cloud.ml_engine.example_mlengine.DAG_ID = 'gcp_mlengine'[原始碼]
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tests.system.google.cloud.ml_engine.example_mlengine.REGION = 'us-central1'[原始碼]
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tests.system.google.cloud.ml_engine.example_mlengine.PACKAGE_DISPLAY_NAME[原始碼]
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tests.system.google.cloud.ml_engine.example_mlengine.MODEL_DISPLAY_NAME[原始碼]
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tests.system.google.cloud.ml_engine.example_mlengine.JOB_DISPLAY_NAME[原始碼]
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tests.system.google.cloud.ml_engine.example_mlengine.RESOURCE_DATA_BUCKET = 'airflow-system-tests-resources'[原始碼]
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tests.system.google.cloud.ml_engine.example_mlengine.CUSTOM_PYTHON_GCS_BUCKET_NAME[原始碼]
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tests.system.google.cloud.ml_engine.example_mlengine.BQ_SOURCE = 'bq://bigquery-public-data.ml_datasets.penguins'[原始碼]
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tests.system.google.cloud.ml_engine.example_mlengine.TABULAR_DATASET[原始碼]
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tests.system.google.cloud.ml_engine.example_mlengine.REPLICA_COUNT = 1[原始碼]
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tests.system.google.cloud.ml_engine.example_mlengine.MACHINE_TYPE = 'n1-standard-4'[原始碼]
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tests.system.google.cloud.ml_engine.example_mlengine.ACCELERATOR_TYPE = 'ACCELERATOR_TYPE_UNSPECIFIED'[原始碼]
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tests.system.google.cloud.ml_engine.example_mlengine.ACCELERATOR_COUNT = 0[原始碼]
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tests.system.google.cloud.ml_engine.example_mlengine.TRAINING_FRACTION_SPLIT = 0.7[原始碼]
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tests.system.google.cloud.ml_engine.example_mlengine.TEST_FRACTION_SPLIT = 0.15[原始碼]
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tests.system.google.cloud.ml_engine.example_mlengine.VALIDATION_FRACTION_SPLIT = 0.15[原始碼]
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tests.system.google.cloud.ml_engine.example_mlengine.PYTHON_PACKAGE_GCS_URI[原始碼]
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tests.system.google.cloud.ml_engine.example_mlengine.PYTHON_MODULE_NAME = 'penguins_trainer_script.task'[原始碼]
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tests.system.google.cloud.ml_engine.example_mlengine.TRAIN_IMAGE = 'us-docker.pkg.dev/vertex-ai/training/tf-cpu.2-8:latest'[原始碼]
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tests.system.google.cloud.ml_engine.example_mlengine.DEPLOY_IMAGE = 'us-docker.pkg.dev/vertex-ai/prediction/tf2-cpu.2-8:latest'[原始碼]
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tests.system.google.cloud.ml_engine.example_mlengine.create_bucket[原始碼]
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tests.system.google.cloud.ml_engine.example_mlengine.test_run[原始碼]