Hi Hadrien, That does sound useful, but just to warn you, it can take a while to get new algorithms into MLlib itself. You can definitely make a case for that on the Spark JIRA. In the meantime, I'd recommend submitting it to Spark Packages https://spark-packages.org/ which won't require waiting. These helper tools are useful for that: https://github.com/databricks/spark-package-cmd-tool https://github.com/databricks/sbt-spark-package
Thanks! Joseph On Fri, Mar 9, 2018 at 12:34 AM, Hadrien <chicault.hadr...@gmail.com> wrote: > Hi, > > we implemented a QuantRegForest to be used with Spark. We coded it in > scala. > I don't know if you could be interrested but we offer to share it with you > (btw the original implementation is in R and called quantregForest : > https://cran.r-project.org/web/packages/quantregForest/index.html) > > Can't wait to hear from you! > > > > -- > Sent from: http://apache-spark-developers-list.1001551.n3.nabble.com/ > > --------------------------------------------------------------------- > To unsubscribe e-mail: dev-unsubscr...@spark.apache.org > > -- Joseph Bradley Software Engineer - Machine Learning Databricks, Inc. [image: http://databricks.com] <http://databricks.com/>