aws / aws/sagemaker-python-sdk

MultiRecord Batch Transform is not working for a Multi container Model (Inference Pipeline)

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#4,042 0 条评论 0 个 reaction 已指派 1 人 已被 @nargokul 认领 在 GitHub 查看
component: Inference APIs and Interfaces type: bug type: logging/error reporting
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Python
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描述

**Describe the bug**
I'm trying to run a batch transform using a model with two containers, one is a scikit-learn model that has all the feature engineering steps an other that has the actual estimator using an xgboost model. The thing is that when I set the BatchStrategy param as 'SingleRecord' everything works just fine, but the problem comes when I set the parameter to 'MultiRecord', the batch transform failed and the logs are not clear about the error. I am using a csv file as input, with no headers of course.

**To reproduce**
Try to run a batch transform with the conditions explained above.

**Expected behavior**
The batch transform should work just fine without any errors.

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