scikit-learn / scikit-learn/scikit-learn
Bad error messages in ClassifierChain on multioutput multiclass
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- Dominant language
- Python
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Description
trying to run classifier chain on a multiclass problem with a reshaped y (which is interpreted as multioutput multiclass) doesn't work (see #9245), which is fine. But the error messages are really bad making it hard to understand what's going on.
We should detect that we're trying to do multioutput multiclass instead of multilabel and give an informative error.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start at the ClassifierChain entry point and reproduce the reported case with a multiclass target reshaped into multioutput form. Trace the validation that produces the current error and update it so multioutput multiclass is identified distinctly from multilabel, with an informative error message as the completion criterion.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100