Hi, So, what is the workaround? Should I create multiple indexer(one for each column), and then create pipeline and set stages to have all the StringIndexers? I am using 2.2.1 as I cannot move to 2.3.0. Looks like oneHotEncoderEstimator is broken, please see my email sent today with subject: OneHotEncoderEstimator - java.lang.NoSuchMethodError: org.apache.spark.sql .Dataset.withColumns
Regards, Mina On Tue, May 15, 2018 at 2:37 AM, Nick Pentreath <nick.pentre...@gmail.com> wrote: > Multi column support for StringIndexer didn’t make it into Spark 2.3.0 > > The PR is still in progress I think - should be available in 2.4.0 > > On Mon, 14 May 2018 at 22:32, Mina Aslani <aslanim...@gmail.com> wrote: > >> Please take a look at the api doc: https://spark.apache.org/ >> docs/2.3.0/api/java/org/apache/spark/ml/feature/StringIndexer.html >> >> On Mon, May 14, 2018 at 4:30 PM, Mina Aslani <aslanim...@gmail.com> >> wrote: >> >>> Hi, >>> >>> There is no SetInputCols/SetOutputCols for StringIndexer in Spark java. >>> How multiple input/output columns can be specified then? >>> >>> Regards, >>> Mina >>> >> >>
