Yes, we need a wrapper under spark.ml. Feel free to create a JIRA for it. -Xiangrui
On Mon, Feb 2, 2015 at 8:56 PM, masaki rikitoku <rikima3...@gmail.com> wrote: > Hi all > > I am trying the ml pipeline for text classfication now. > > recently, i succeed to execute the pipeline processing in ml packages, > which consist of the original Japanese tokenizer, hashingTF, > logisticRegression. > > then, i failed to executed the pipeline with idf in mllib package directly. > > To use the idf feature in ml package, > do i have to implement the wrapper for idf in ml package like the hashingTF? > > best > > Masaki Rikitoku > > --------------------------------------------------------------------- > To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org > For additional commands, e-mail: dev-h...@spark.apache.org > --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org For additional commands, e-mail: dev-h...@spark.apache.org
