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Refactors existing stacking estimators with class inheritance structure. More specifically, classes are related as below. The real code is a bit more complex with multiple inheritance.
Added a note about the modification or contribution to the ./docs/sources/CHANGELOG.md file (if applicable)
Added appropriate unit test functions in the ./mlxtend/*/tests directories (if applicable)
Modify documentation in the corresponding Jupyter Notebook under mlxtend/docs/sources/ (if applicable)
Ran nosetests ./mlxtend -sv and make sure that all unit tests pass (for small modifications, it might be sufficient to only run the specific test file, e.g., nosetests ./mlxtend/classifier/tests/test_stacking_cv_classifier.py -sv)
Checked for style issues by running flake8 ./mlxtend
Just noticed a lot of failing unit tests. I think this may be because sklearn 0.20 has recently become available via miniconda, and mlxtend (also) tests the lastest sklearn version. There were some bugfixes to some estimators plus a slight change in the iris dataset (two data points changed) which explained some of the different results. Adjusted the unit tests yesterday and will rerun the CI tests here, then we can see if there are some issues remaining.
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Description
This is work-in-progress
Refactors existing stacking estimators with class inheritance structure. More specifically, classes are related as below. The real code is a bit more complex with multiple inheritance.
In addition, following arguments are renamed:
refit-->use_clonesinStackingRegressorandStackingCVRegressorFollowing option is added
verbosetoStackingRegressorAlthough there are still some tests fail and bug fix is going, I would like to have your thoughts as of now.
Fixes #444
Related issues or pull requests
Pull Request Checklist
./docs/sources/CHANGELOG.mdfile (if applicable)./mlxtend/*/testsdirectories (if applicable)mlxtend/docs/sources/(if applicable)nosetests ./mlxtend -svand make sure that all unit tests pass (for small modifications, it might be sufficient to only run the specific test file, e.g.,nosetests ./mlxtend/classifier/tests/test_stacking_cv_classifier.py -sv)flake8 ./mlxtend