Comments (4)
danielhomola
commented on July 4, 2024
Hi there,
Thanks for reporting this. (Next time could you please include the part of the traceback that's coming from boruta_py as well?)
This is an interesting one and took me a while to figure out. Basically, Boruta fails here because all features are selected from the dataset. Since I was developing and benchmarking on Boruta on real datasets not toy data, I never ran into a scenario like this.
I'll add a safety check to prevent this from happening.
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commented on July 4, 2024
excellent, thank you for addressing.
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farfan92
commented on July 4, 2024
Has this been addressed yet? I seem to be running into the same issue
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danielhomola
commented on July 4, 2024
no.. I'm really sorry.. I was busy writing up my thesis.. my viva is on Friday, should be more productive in the coming weeks..
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Related Issues (20)
- Numpy types aliases deprecated (`np.int`, `np.bool` and `np.float`)
- why estimators num is calculated by feature num in this way?
- max_iter values HOT 3
- ImportError: cannot import name 'BorutaPy' from 'boruta' HOT 1
- PKG for the survival analysis HOT 6
- Can I somehow speed the Borutapy process HOT 2
- Version update of Boruta on pypi? HOT 5
- What percentage of shadow features does each real feature outperform?
- AttributeError: module 'numpy' has no attribute 'int'. HOT 9
- Possible problems in installation HOT 1
- TypeError: BorutaPy.__init__() got an unexpected keyword argument 'early_stopping' HOT 1
- Kaggle n_estimators issue with DecisionTreeClassifier HOT 2
- Error when using BorutaPy with LogisticRegression
- AttributeError: module 'numpy' has no attribute 'bool' when using BorutaPy with RandomForestClassifier HOT 3
- BorutaPy selects different features in different iterations HOT 1
- AttributeError: module 'numpy' has no attribute 'int'. `np.int` was a deprecated alias for the builtin `int`. HOT 13
- Does boruta apply to time series data? HOT 1
- New release HOT 1
- Any updates in future ?
- Does BorutaPy work with cuML RandomForestClassifier? HOT 8
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