fail gracefully with multi label.

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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
python, scikit-learn
Domain
machine-learning

Research direction

Reproduce the issue with sklearn.datasets.load_iris(), cast_np_nd_to_sa(), run_std_classifiers(), and make_csv() as shown. Start by capturing the missing error details and tracing the failure through run_std_classifiers and make_csv; done means the multi-label input fails gracefully rather than raising an unhandled error.

Written by the indexing model from the issue text.

Description

bug

nieve run of sklearn.datasets.iris creates this errror.

M = sklearn.datasets.load_iris().data
labels = sklearn.datasets.load_iris().target
M = cast_np_nd_to_sa(M)
exp = run_std_classifiers(M,labels)
exp.make_csv()

Dominant language
Python
Stars
14
Forks
2
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