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Sagemaker：如何调试Model监控（数据质量和model质量）？

[英]Sagemaker: How to debug Model monitoring(data quality and model quality)?

原文 2022-02-02 05:34:02 8 1 python/ amazon-web-services/ amazon-sagemaker

I have created a Data Quality monitoring from Sagemaker Studio UI and also created using sagemaker SDK code , I referred to create model Data Quality monitoring job.我已经从 Sagemaker Studio UI 创建了数据质量监控，还使用 sagemaker SDK代码创建了数据质量监控，我指的是创建 model 数据质量监控作业。

Errors:错误：

when there is no captured data (this is expected)当没有捕获数据时（这是预期的）

Monitoring job failure reason:监控作业失败原因：

Job inputs had no data作业输入没有数据

From logs, I can see that it is using Java in background.从日志中，我可以看到它在后台使用Java 。 Not sure how to debug?不确定如何调试？

org.json4s.package$MappingException: Do not know how to convert JObject(List(0,JDouble(38.0))) into class java.lang.String. org.json4s.package$MappingException：不知道如何将 JObject(List(0,JDouble(38.0))) 转换为 class java.lang.String。

Once we create the DataQuality monitoring job using Sagemaker Studio UI or Sagemkaer python sdk, it is taking a hour to start.使用 Sagemaker Studio UI 或 Sagemkaer python sdk 创建 DataQuality 监控作业后，需要一个小时才能启动。 I would like to know is there a way to debug monitoring job without waiting for a hour every time we get a error?我想知道是否有一种方法可以在每次出现错误时无需等待一个小时来调试监控作业？

1 个解决方案

For development, it might be easier to trigger execution of the monitoring job manually.对于开发，手动触发监控作业的执行可能更容易。 Take a look at this python code看看这个python 代码

If you want to see how it's used, open the lab 5 notebook of the workshop and scroll almost to the end, to the cells right after the "Triggering execution manually" title.如果您想查看它是如何使用的，请打开研讨会的lab 5 笔记本并滚动到几乎末尾，即“手动触发执行”标题后面的单元格。

SageMaker：如何手动运行 Model 质量监控作业？ - SageMaker: How to manually run a Model Quality Monitor Job?

AWS Model 无端点质量监控 - Aws Model Quality Monitoring without Endpoints

Sagemaker Model 执行 latest_execution.describe() 时出现监控错误 - Sagemaker Model Monitoring error while performing latest_execution.describe()

贤者推理：如何加载model - Sagemaker inference : how to load model

可视化批量转换模型质量按计划结果指标 - Visualize Batch-Transform-Model-Quality-On-schedule Result Metrics

在 MLflow 中注册 SageMaker model - Register SageMaker model in MLflow

如何使用新训练的 Model 更新 Sagemaker Endpoint？ - How to update Sagemaker Endpoint with the newly Trained Model?

Model 图像数据监控在 Vertex AI 中不起作用 - Model Monitoring for Image Data not working in Vertex AI

如何将数据从 S3 存储桶加载到 Sagemaker jupyter notebook 以训练 model？ - How to load data from your S3 bucket to Sagemaker jupyter notebook to train the model?

如何使用在不同输入数据上训练的多个 ml 模型生成一个 model 并在 Sagemaker 中给出预测？ - How to use multiple ml models trained on different input data to produce one model and give prediction in Sagemaker?

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相关问题 SageMaker：如何手动运行 Model 质量监控作业？ - SageMaker: How to manually run a Model Quality Monitor Job? AWS Model 无端点质量监控 - Aws Model Quality Monitoring without Endpoints Sagemaker Model 执行 latest_execution.describe() 时出现监控错误 - Sagemaker Model Monitoring error while performing latest_execution.describe() 贤者推理：如何加载model - Sagemaker inference : how to load model 可视化批量转换模型质量按计划结果指标 - Visualize Batch-Transform-Model-Quality-On-schedule Result Metrics 在 MLflow 中注册 SageMaker model - Register SageMaker model in MLflow 如何使用新训练的 Model 更新 Sagemaker Endpoint？ - How to update Sagemaker Endpoint with the newly Trained Model? Model 图像数据监控在 Vertex AI 中不起作用 - Model Monitoring for Image Data not working in Vertex AI 如何将数据从 S3 存储桶加载到 Sagemaker jupyter notebook 以训练 model？ - How to load data from your S3 bucket to Sagemaker jupyter notebook to train the model? 如何使用在不同输入数据上训练的多个 ml 模型生成一个 model 并在 Sagemaker 中给出预测？ - How to use multiple ml models trained on different input data to produce one model and give prediction in Sagemaker?

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