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EpistasisLab / scikit-rebate / 158 / 2
60%
master: 60%

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Ran 03 Apr 2018 07:26PM UTC
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03 Apr 2018 07:11PM UTC coverage: 76.667% (+6.5%) from 70.213%
PYTHON_VERSION="3.6" COVERAGE="true" LATEST="true"

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Merge pull request #35 from sauravbose/ryan_multiclass

Ryan multiclass - This merge incorporates a number of essential ReBATE bug fixes having to do with proper score normalization, multi-class functionality, continuous feature performance consistency, and the incorporation of a new ramp function that helps counter some of the discrete feature bias in data with a mix of discrete/continuous variables.

248 of 390 branches covered (63.59%)

506 of 660 relevant lines covered (76.67%)

0.77 hits per line

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