{"push_id":1312165001,"size":1,"distinct_size":1,"ref":"refs/heads/master","head":"2325f98df600637ce49ec2481107a192422143b1","before":"1c453197176832f3a6ce7d0d33f5ab37749cab26","commits":[{"sha":"2325f98df600637ce49ec2481107a192422143b1","author":{"name":"Mark Ramotowski","email":"fd1ed290c28236090ee5c195ebfc58186b22ec62@intellectionsoftware.com"},"message":"Added SPSS weighting to the CHAID Algorithm (#37)\n\n* Added failing spec for simple weighting case\r\n\r\n* Updated the split on generation to make it pass\r\n\r\n* Some refactoring\r\n\r\n* Added pandas to df support\r\n\r\n* Updated to weight and unweight proper split\r\n\r\n* Local optimisations and correct chi-square calculation\r\n\r\n* Matches SPSS\r\n\r\n* Removed all NaN assumption for removal, and do not round weights\r\n\r\n* Fixed bug and removed the if already satisfied clause\r\n\r\n* Added spec for the degrees of freedom calculation\r\n\r\n* Switched non-split back to None p,rather than 1","distinct":true,"url":"https://api.github.com/repos/Rambatino/CHAID/commits/2325f98df600637ce49ec2481107a192422143b1"}]}
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