Re: [Spark R]: Linear Mixed-Effects Models in Spark R

Look at LinkedIn's Photon ML package: https://github.com/linkedin/photon-ml One of the caveats is/was that the input data has to be in Avro in a specific format. On Mon, Mar 26, 2018 at 1:46 PM, Josh Goldsborough < joshgoldsboroughs...@gmail.com> wrote: > The company I work for is trying to do

Re: Spark ML : One hot Encoding for multiple columns

> featureCols).setOutputCol("categoryIndex").fit(df1) > > > On Wed, Aug 17, 2016 at 10:56 AM, Nisha Muktewar <ni...@cloudera.com> > wrote: > >> I don't think it does. From the documentation: >> https://spark.apache.org/docs/2.0.0-preview/ml-features.ht

Re: Spark ML : One hot Encoding for multiple columns

I don't think it does. From the documentation: https://spark.apache.org/docs/2.0.0-preview/ml-features.html#onehotencoder, I see that it still accepts one column at a time. On Wed, Aug 17, 2016 at 10:18 AM, janardhan shetty wrote: > 2.0: > > One hot encoding currently