Comments (7)
MaxBenChrist
commented on July 25, 2024
👍
You can also configure a travis to upload it whenever you tag a new release
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danielhomola
commented on July 25, 2024
Sorry for the long absence. Will try and do this on the coming weekend.
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MaxBenChrist
commented on July 25, 2024
Nice, if you need some help, tell me. I just recently configured everything for my tsfresh package.
with travis it is quite easy to setup. you only need to setup .travis.yml
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gsemet
commented on July 25, 2024
(sorry for self-advertising) As example of a package that self upload to pypi when tagged (or "release created" on github): https://github.com/Stibbons/txrwlock
Don't know if it is also possible to auto publish on anaconda from travis, would be so cool :)
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danielhomola
commented on July 25, 2024
I finally did this, thanks guys for pushing me :)
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Saravji
commented on July 25, 2024
As I could not find an anconda instance of this package, I did go ahead and created one:
https://anaconda.org/saravji/boruta
It's for linux 64 only at this time. And of course I have referenced back to this repo, as the origin of the package.
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danielhomola
commented on July 25, 2024
thanks a lot @Saravji !
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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?
- Error with package version specification upon installation
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