Vertex AI 自动再训练
[英]Vertex AI automatic retraining
问题描述
I'm trying to create a Vertex AI endpoint with Monitoring enabled that can trigger a Vertex AI pipeline execution when one of the deployed models drops its performance.
我正在尝试创建一个启用了监控的 Vertex AI 端点，它可以在其中一个已部署模型的性能下降时触发 Vertex AI 管道执行。 However, Vertex AI does not provide any built-in feature to do it.但是，Vertex AI 不提供任何内置功能来执行此操作。 Is there a method to capture the alert thrown by Vertex AI Monitoring and trigger the Pipeline?有没有一种方法可以捕获 Vertex AI Monitoring 抛出的警报并触发管道？
1 个解决方案
解决方案1
1 已采纳 2022-09-28 11:52:49
- The Vertex AI Model Monitoring jobs are logged as part of Cloud Logging 1 . Vertex AI Model 监控作业被记录为 Cloud Logging 1的一部分。
- You can react to those loggings using log-based alerts2 .您可以使用基于日志的警报2对这些日志记录做出反应。 For that, you need to configure a notification channel to PubSub 3为此，您需要为 PubSub 3配置一个通知通道
- Based on those PubSub message you can trigger a Cloud Function 4基于这些 PubSub 消息，您可以触发 Cloud Function 4
- The Cloud Function can initiate the Vertex AI Pipeline run to re-train the model 5 Cloud Function 可以启动 Vertex AI Pipeline 运行以重新训练 model 5
https://cloud.google.com/vertex-ai/docs/model-monitoring/using-model-monitoring#cloud-logging-info https://cloud.google.com/vertex-ai/docs/model-monitoring/using-model-monitoring#cloud-logging-info
https://cloud.google.com/logging/docs/alerting/log-based-alerts https://cloud.google.com/logging/docs/alerting/log-based-alerts
https://cloud.google.com/monitoring/api/ref_v3/rest/v3/projects.notificationChannels#NotificationChannel https://cloud.google.com/monitoring/api/ref_v3/rest/v3/projects.notificationChannels#NotificationChannel
https://cloud.google.com/functions/docs/calling/pubsub https://cloud.google.com/functions/docs/calling/pubsub
https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.pipelineJobs/create https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.pipelineJobs/create
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