Sklearn update

[cae67]

OVERVIEW:
Updated polyssifier to enable it to install via pip and run in Python 3 while maintaining Python 2.7 compatibility.

Note that due to differences in Windows and Linux multiprocessing an additional line of code must be added prior to calling polyssifier in Windows:

if name == 'main':
report = polyssifier.poly(data,labels)

TESTING:
Passed tests on Linux Python 3.7-3.12
Passed tests on Windows Python 3.7-3.12
Passed tests on Windows Python 2.7
Passed most tests on Linux Python 2.7

MODIFICATIONS:
Setup.py – changed ‘sklearn’ in install_requires to ‘scikit-learn’
Setup.py – added ‘joblib’ to install_requires to maintain Python 2.7 compatibility
Setup.py – added Python versions 3.7-3.12
Polyssifier.py – line 58 changed because fstring doesn’t work in Python 2
Poly_utils.py – lines 128 and 135 changed because max_features=’auto’ only works in scikit-learn 0.x. Switched to ‘sqrt’, which has identical outcome to ‘auto’ in scikit-learn 0.x but also works in scikit-learn 1.x.
Test_classification.py – lines 39 and 48, changed iteritems() to items() because iteritems() was deprecated in pandas 2.0
Test_multiclass.py – line 29, changed iteritems() to items() because iteritems() was deprecated in pandas 2.0
Test_regression.py – line 28, changed iteritems() to items() because iteritems() was deprecated in pandas 2.0

[coveralls]

Pull Request Test Coverage Report for Build 7965984878

Details

• 0 of 1 (100.0%) changed or added relevant line in 1 file are covered.
• No unchanged relevant lines lost coverage.
• Overall coverage remained the same at 92.514%

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Totals
Change from base Build 7910775236:	0.0%
Covered Lines:	482
Relevant Lines:	521

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💛 - Coveralls

[bbradt]

All changes look reasonable to me. If the library works per the current version of the README, I would recommend merging.

[sergeyplis]

just one comment about auto

[sergeyplis]

all's clear