I also found https://github.com/apache/spark/commit/8f6e2e9df41e7de22b1d1cbd524e20881f861dd0 had resolve this issue but it seems that right code snippet not occurs in master or 1.1 release.
2014-09-13 17:12 GMT+08:00 Yanbo Liang <yanboha...@gmail.com>: > Hi All, > > I found that LogisticRegressionWithLBFGS interface is not consistent > with LogisticRegressionWithSGD in master and 1.1 release. > > > https://github.com/apache/spark/blob/master/mllib/src/main/scala/org/apache/spark/mllib/classification/LogisticRegression.scala#L199 > > In the above code snippet, users can only construct a > LogisticRegressionWithLBFGS without any user specified parameters. > Although users can specific training parameters calling corresponding > function of class LBFGS. > But this behave different with LogisticRegressionWithSGD. > Could anyone can tell me why we did not refactor the code to keep > consistent interface? > > Thank you > Yanbo > > >
