Fix the Warnings in Build
rakshit-kumar opened this issue · comments
The library is generating lot of warnings (text below).
sklearn/utils/deprecation.py:144: FutureWarning: The sklearn.svm.classes module is deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.svm. Anything that cannot be imported from sklearn.svm is now part of the private API.
warnings.warn(message, FutureWarning)
sklearn/base.py:318: UserWarning: Trying to unpickle estimator LinearSVC from version 0.20.2 when using version 0.22. This might lead to breaking code or invalid results. Use at your own risk.
UserWarning)
: FutureWarning: The sklearn.preprocessing.label module is deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.preprocessing. Anything that cannot be imported from sklearn.preprocessing is now part of the private API.
warnings.warn(message, FutureWarning)
/sklearn/base.py:318: UserWarning: Trying to unpickle estimator LabelEncoder from version 0.20.2 when using version 0.22. This might lead to breaking code or invalid results. Use at your own risk.
UserWarning)
sklearn/base.py:318: UserWarning: Trying to unpickle estimator _SigmoidCalibration from version 0.20.2 when using version 0.22. This might lead to breaking code or invalid results. Use at your own risk.
UserWarning)
sklearn/base.py:318: UserWarning: Trying to unpickle estimator CalibratedClassifierCV from version 0.20.2 when using version 0.22. This might lead to breaking code or invalid results. Use at your own risk.
UserWarning)
Yeah the usage demo produces the following output, meaning I can't use this library :(
/home/carlin/.local/lib/python3.8/site-packages/sklearn/externals/joblib/__init__.py:15: FutureWarning: sklearn.externals.joblib is deprecated in 0.21 and will be removed in 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib. If this warning is raised when loading pickled models, you may need to re-serialize those models with scikit-learn 0.21+.
warnings.warn(msg, category=FutureWarning)
/home/carlin/.local/lib/python3.8/site-packages/sklearn/base.py:313: UserWarning: Trying to unpickle estimator CountVectorizer from version 0.20.2 when using version 0.22.2.post1. This might lead to breaking code or invalid results. Use at your own risk.
warnings.warn(
/home/carlin/.local/lib/python3.8/site-packages/sklearn/utils/deprecation.py:144: FutureWarning: The sklearn.svm.classes module is deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.svm. Anything that cannot be imported from sklearn.svm is now part of the private API.
warnings.warn(message, FutureWarning)
/home/carlin/.local/lib/python3.8/site-packages/sklearn/base.py:313: UserWarning: Trying to unpickle estimator LinearSVC from version 0.20.2 when using version 0.22.2.post1. This might lead to breaking code or invalid results. Use at your own risk.
warnings.warn(
/home/carlin/.local/lib/python3.8/site-packages/sklearn/utils/deprecation.py:144: FutureWarning: The sklearn.preprocessing.label module is deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.preprocessing. Anything that cannot be imported from sklearn.preprocessing is now part of the private API.
warnings.warn(message, FutureWarning)
/home/carlin/.local/lib/python3.8/site-packages/sklearn/base.py:313: UserWarning: Trying to unpickle estimator LabelEncoder from version 0.20.2 when using version 0.22.2.post1. This might lead to breaking code or invalid results. Use at your own risk.
warnings.warn(
/home/carlin/.local/lib/python3.8/site-packages/sklearn/base.py:313: UserWarning: Trying to unpickle estimator _SigmoidCalibration from version 0.20.2 when using version 0.22.2.post1. This might lead to breaking code or invalid results. Use at your own risk.
warnings.warn(
/home/carlin/.local/lib/python3.8/site-packages/sklearn/base.py:313: UserWarning: Trying to unpickle estimator CalibratedClassifierCV from version 0.20.2 when using version 0.22.2.post1. This might lead to breaking code or invalid results. Use at your own risk.
warnings.warn(
How do I get rid of this? Would like to use this.
Install scikit-learn==0.20.2 to solve the problem.
The author really should have specified the exact version.
Install
scikit-learn==0.20.2to solve the problem.The author really should have specified the exact version.
It's building wheel (setup.py) endlessly when installing that version using pip3.