Fix the Warnings in Build

[rakshit-kumar]

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)

[rakshit-kumar]

@vzhou842 @vchulski

[carlinmack]

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(

[workaddiction]

How do I get rid of this? Would like to use this.

[jgentil]

Install scikit-learn==0.20.2 to solve the problem.

The author really should have specified the exact version.

[workaddiction]

Install scikit-learn==0.20.2 to 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.