Refactor out different test cases to separate tests#1176
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The previous solution had two test conditions (strict and not strict) and several scikit-learn versions, because of two distinct changes within scikit-learn (the removal of min_impurity_split in 1.0, and the restructuring of public/private models in 0.24). I refactored out the separate test cases to greatly simplify the individual tests, and I added a test case for scikit-learn>=1.0, which was previously not covered.
mfeurer
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The previous solution had two test conditions (strict and not strict) and several scikit-learn versions, because of two distinct changes within scikit-learn (the removal of min_impurity_split in 1.0, and the restructuring of public/private models in 0.24). I refactored out the separate test cases to greatly simplify the individual tests, and I added a test case for scikit-learn>=1.0, which was previously not covered.
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The previous solution had two test conditions (strict and not strict) and several scikit-learn versions, because of two distinct changes within scikit-learn (the removal of min_impurity_split in 1.0, and the restructuring of public/private models in 0.24).
I refactored out the separate test cases to greatly simplify the individual tests, and I added a test case for scikit-learn>=1.0, which was previously not covered.
edit: I think this can now also be more easily parameterized somehow, but I am not sure exactly how to do this when taking into account the skipifs. I would prioritize getting the other tests to green before refactoring further (the main reason I refactored here is because I needed to add cases for >1.0 anyway).