nci / scores / 12062191600

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Isotonic scipy from scikit (#774)

* Refactored isotonic regression function from scikit-learn to scipy

Please note, this was manually speed tested, and proved to be faster according to that test regime. So this PR reduces complexity and may speed things up at the same time.

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Signed-off-by: Tennessee Leeuwenburg <134973832+tennlee@users.noreply.github.com>
Co-authored-by: AJ Fisher <AJTheDataGuy@gmail.com>
Co-authored-by: Tennessee Leeuwenburg <134973832+tennlee@users.noreply.github.com>
Co-authored-by: Stephanie Chong <168800785+Steph-Chong@users.noreply.github.com>

283 of 283 branches covered (100.0%)

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1949 of 1949 relevant lines covered (100.0%)

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