Support major release of scikit-learn 1.x

[iamDecode]

Since scikit-learn officially released 1.0 the API has changed a bit. Mostly renaming, but sufficient for breaking sklearn-pmml-model. This PR resolves those issues while staying compatible with previous (recent) 0.x versions

[codecov]

Codecov Report

Merging #37 (24de56d) into master (186c065) will decrease coverage by 0.39%.
The diff coverage is 92.00%.

@@             Coverage Diff             @@
##            master      #37      +/-   ##
===========================================
- Coverage   100.00%   99.60%   -0.40%     
===========================================
  Files           16       16              
  Lines          967     1004      +37     
===========================================
+ Hits           967     1000      +33     
- Misses           0        4       +4     

Impacted Files	Coverage Δ
sklearn_pmml_model/naive_bayes/implementations.py	95.65% <50.00%> (-4.35%)	⬇️
sklearn_pmml_model/base.py	98.87% <66.66%> (-1.13%)	⬇️
sklearn_pmml_model/ensemble/forest.py	100.00% <100.00%> (ø)
sklearn_pmml_model/ensemble/gb.py	100.00% <100.00%> (ø)
sklearn_pmml_model/linear_model/implementations.py	100.00% <100.00%> (ø)
sklearn_pmml_model/svm/_base.py	100.00% <100.00%> (ø)
sklearn_pmml_model/svm/_classes.py	100.00% <100.00%> (ø)
sklearn_pmml_model/tree/tree.py	100.00% <100.00%> (ø)

---

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update 186c065...24de56d. Read the comment docs.

[lgtm-com]

This pull request fixes 2 alerts when merging 24de56d into 186c065 - view on LGTM.com

fixed alerts:

• 2 for Missing call to `__init__` during object initialization