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![DeNA TechCon 2020
#denatechcon
@pytest.mark.dependency(depends=[“test_preprocess_a”, “test_preprocess_b”])
def test_trainer(test_config):
trainer = Trainer(
test_config[“xxx”].format(test_config[“hash"]),
test_config[“yyy”].format(test_config[“hash"]),
)
trainer.train()
trainer.upload_model()](https://image.slidesharecdn.com/movsmachinelearningmlops-200316055433/75/MOV-MLOps-DeNA-TechCon-2020-70-2048.jpg)
Uploaded byDeNA
MOV の機械学習システムを支える MLOps 実践【DeNA TechCon 2020 ライブ配信】
The document details the Dena TechCon 2020 event, highlighting various topics such as CI/CD processes and BigQuery. It includes code snippets for Slack alerts and training models using Python, demonstrating implementations for notifications and dataset management. The content emphasizes technical aspects relevant to attendees, likely focusing on cloud and data technologies.
![[Cloud OnAir] BigQuery の仕組みからベストプラクティスまでのご紹介 2018年9月6日 放送](https://cdn.slidesharecdn.com/ss_thumbnails/dddddd-180906091548-thumbnail.jpg?width=640&height=640&fit=bounds)
![ドライブレコーダ映像からの3次元空間認識 [MOBILITY:dev]](https://cdn.slidesharecdn.com/ss_thumbnails/20191031mobilitydevmiyazawa-191031085336-thumbnail.jpg?width=640&height=640&fit=bounds)
![DeNAのQCTマネジメント IaaS利用のベストプラクティス [AWS Summit Tokyo 2019]](https://cdn.slidesharecdn.com/ss_thumbnails/aws-summit-tokyo-2019-kei-190617011042-thumbnail.jpg?width=640&height=640&fit=bounds)
![タクシーxAIを支えるKubernetesとAIデータパイプラインの信頼性の取り組みについて [SRE NEXT 2020]](https://cdn.slidesharecdn.com/ss_thumbnails/202001srenext-200125032719-thumbnail.jpg?width=640&height=640&fit=bounds)
![後部座席タブレットにおけるMaaS時代を見据えた半歩先のUX設計」 [MOBILITY:dev]](https://cdn.slidesharecdn.com/ss_thumbnails/20191031mobilitydevyoneyama-191031085554-thumbnail.jpg?width=640&height=640&fit=bounds)
![MOVで実践したサーバーAPI実装の超最適化について [MOBILITY:dev]](https://cdn.slidesharecdn.com/ss_thumbnails/20191031mobilitydevera-191031084650-thumbnail.jpg?width=640&height=640&fit=bounds)
![課題ドリブン、フルスタックAI開発術 [MOBILITY:dev]](https://cdn.slidesharecdn.com/ss_thumbnails/20191031mobilitydevkuzuoka-191031073741-thumbnail.jpg?width=640&height=640&fit=bounds)
MOV の機械学習システムを支える MLOps 実践【DeNA TechCon 2020 ライブ配信】
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- 36. ● ※ ⇒ ※ ● → ※ !36
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- 41. DeNA TechCon 2020 #denatechcon 々 Mapdata ©2019 Google
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- 44. DeNA TechCon 2020 #denatechcon 々 AIPlatform TrainingBigQuery
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- 54. DeNA TechCon 2020 #denatechcon deftask_fail_slack_alert(context): slack_msg = “Task Failed.” failed_alert = SlackWebhookOperator( task_id="xxx", http_conn_id="slack", webhook_token=Variable.get("webhook.token"), message=slack_msg, username="airflow", ) return failed_alert.execute(context=context)
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- 69. DeNA TechCon 2020 #denatechcon ※ @pytest.fixture(scope="session",autouse=True) def setup_teardown(request, test_config): # setup # suffix = uuid.uuid4() create_dataset(suffix) yield # teardown # delete_blobs(suffix) delete_dataset(suffix)
- 70. DeNA TechCon 2020 #denatechcon @pytest.mark.dependency(depends=[“test_preprocess_a”,“test_preprocess_b”]) def test_trainer(test_config): trainer = Trainer( test_config[“xxx”].format(test_config[“hash"]), test_config[“yyy”].format(test_config[“hash"]), ) trainer.train() trainer.upload_model()
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