aws / aws/amazon-sagemaker-examples
Batch Transform failed
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- Jupyter Notebook
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Description
Hello,
I am new to the sagemaker and tried to use linear learner to train the logistic regression model. However, I really have some difficulties in getting the prediction done. Even I applied the batch to the same validation dataset. Following is my step:
1. HyperparameterTuner
2. attach the best training job
3. batch transform on both test/validation dataset in s3.
The transform job was failed with the error log "unable to evaluate payload provided" or "Failed to parse output from the algorithm as CSV". Any clue how this happen?
Contributor guide
Research direction
Start by reproducing the listed HyperparameterTuner, best-job attachment, and batch-transform workflow for the Linear Learner model, then inspect the transform job logs and the test/validation files in S3. Done means the payload format and output parsing issue is identified and the batch transform completes successfully with documented input and output expectations.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook
- Domain
- cloud, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100