Comments (2)
danielhomola
commented on June 26, 2024
Thanks for letting me know! I love bottleneck and use it all the time, but I also want to add Boruta to scikit-learn and they have a very strict dependency policy so I had to re-implement nansort with numpy/scipy. Do you have an idea how we could fix the issue you found?
Cheers,
d
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nils-braun
commented on June 26, 2024
Ah ok, now I understand why you switched from bottleneck to your implementation.
No, I do not have a quick fix in mind. I will think about it and answer, when I have found something.
Cheers
Nils
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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
- Why does the number of total features (Confirmed + Tentative + Rejected) not equal to the input features?
- Does BorutaPy work with cuML RandomForestClassifier? HOT 8
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