aws / aws/sagemaker-python-sdk
MultiRecord Batch Transform is not working for a Multi container Model (Inference Pipeline)
- Lingua principale
- Python
- Stelle
- 2.3k
- Fork
- 1.3k
- Merge medio
- 1g 22h
- PR unite (30g)
- 35
Descrizione
**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.
Guida per i contributori
Apri la guida per i contributori
Valutazione
Questa issue non è ancora stata valutata.