tests.system.google.cloud.vertex_ai.example_vertex_ai_auto_ml_video_training¶

用于 Google Vertex AI 服务测试 Auto ML 操作的示例 Airflow DAG。

属性¶

`ENV_ID`
`PROJECT_ID`
`DAG_ID`
`REGION`
`VIDEO_DISPLAY_NAME`
`MODEL_DISPLAY_NAME`
`RESOURCE_DATA_BUCKET`
`VIDEO_GCS_BUCKET_NAME`
`VIDEO_DATASET`
`VIDEO_DATA_CONFIG`
`create_video_dataset`
`test_run`

模块内容¶

tests.system.google.cloud.vertex_ai.example_vertex_ai_auto_ml_video_training.ENV_ID[source]¶

tests.system.google.cloud.vertex_ai.example_vertex_ai_auto_ml_video_training.PROJECT_ID[source]¶

tests.system.google.cloud.vertex_ai.example_vertex_ai_auto_ml_video_training.DAG_ID = 'vertex_ai_auto_ml_operations'[source]¶

tests.system.google.cloud.vertex_ai.example_vertex_ai_auto_ml_video_training.REGION = 'us-central1'[source]¶

tests.system.google.cloud.vertex_ai.example_vertex_ai_auto_ml_video_training.VIDEO_DISPLAY_NAME = 'auto-ml-video-Uninferable'[source]¶

tests.system.google.cloud.vertex_ai.example_vertex_ai_auto_ml_video_training.MODEL_DISPLAY_NAME = 'auto-ml-video-model-Uninferable'[source]¶

tests.system.google.cloud.vertex_ai.example_vertex_ai_auto_ml_video_training.RESOURCE_DATA_BUCKET = 'airflow-system-tests-resources'[source]¶

tests.system.google.cloud.vertex_ai.example_vertex_ai_auto_ml_video_training.VIDEO_GCS_BUCKET_NAME = ''[source]¶

tests.system.google.cloud.vertex_ai.example_vertex_ai_auto_ml_video_training.VIDEO_DATASET[source]¶

tests.system.google.cloud.vertex_ai.example_vertex_ai_auto_ml_video_training.VIDEO_DATA_CONFIG[source]¶

tests.system.google.cloud.vertex_ai.example_vertex_ai_auto_ml_video_training.create_video_dataset[source]¶

tests.system.google.cloud.vertex_ai.example_vertex_ai_auto_ml_video_training.test_run[source]¶

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