Hi Yanbo, We made the change here https://github.com/apache/spark/commit/5d25c0b74f6397d78164b96afb8b8cbb1b15cfbd
Those apis to set the parameters are very difficult to maintain, so we decide not to provide them. In next release, Spark 1.2, we will have a better api design for parameter setting. Sincerely, DB Tsai ------------------------------------------------------- My Blog: https://www.dbtsai.com LinkedIn: https://www.linkedin.com/in/dbtsai On Sat, Sep 13, 2014 at 2:12 AM, Yanbo Liang <yanboha...@gmail.com> wrote: > 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 > > --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
