Encountered an internal AutoML error. No objects to concatenate.
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Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 25/100
- Issue type
- Bug
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- azure, jupyter-notebook, machine-learning
- Domain
- cloud, machine-learning
Research direction
Start from the AutoML job submission described in the report and reproduce it with the dataset that has no missing values and zeros in the time-series target column. No source file or test is named, so trace the job's error response and compare it with a dataset where training succeeds. Done means identifying the cause of the "No objects to concatenate" failure and confirming that the affected job trains successfully.
Written by the indexing model from the issue text.
Description
Hello,
When submitting an AutoML job, the training fails and I get the following error:
Encountered an internal AutoML error. Error Message/Code: ClientException. Additional Info: ClientException:
Message: No objects to concatenate
InnerException: None
ErrorResponse
{
"error": {
"message": "No objects to concatenate"
}
}
This only happens for that specific dataset which contains no missing values but quite some 0s in the target column (time series forecasting). I did make sure to follow this recommendation but that did not solve the issue.
thanks in advance for the help!
Kind regards,
Ervin
- Dominant language
- Jupyter Notebook
- Stars
- 4.4k
- Forks
- 2.6k
- PR merge metrics
- No merged PRs in 30d
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