Hi Xiangrui,
You can refer to <<An Introduction to Statistical Learning with Applications in R>>, there are many stander hypothesis test to do regarding to linear regression and logistic regression, they should be implement in the fist order, then we will list some other testes, which are also important when using logistic regression to build score cards. Xiaobo Gu ------------------ Original ------------------ From: "Xiangrui Meng";<men...@gmail.com>; Send time: Wednesday, Aug 20, 2014 2:18 PM To: ""<guxiaobo1...@qq.com>; Cc: "user@spark.apache.org"<user@spark.apache.org>; Subject: Re: What about implementing various hypothesis test for LogisticRegression in MLlib We implemented chi-squared tests in v1.1: https://github.com/apache/spark/blob/master/mllib/src/main/scala/org/apache/spark/mllib/stat/Statistics.scala#L166 and we will add more after v1.1. Feedback on which tests should come first would be greatly appreciated. -Xiangrui On Tue, Aug 19, 2014 at 9:50 PM, guxiaobo1982 <guxiaobo1...@qq.com> wrote: > Hi, > > From the documentation I think only the model fitting part is implement, > what about the various hypothesis test and performance indexes used to > evaluate the model fit? > > Regards, > > Xiaobo Gu --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
