>From the docs <https://spark.apache.org/docs/latest/api/scala/index.html#org.apache.spark.sql.package@DataFrame=org.apache.spark.sql.Dataset[org.apache.spark.sql.Row]>, DataFrame is just Dataset[Row]. The are various converters for subtypes of Product if you want, using "as[T]", where T <: Product, or there is an implicit decoder in scope, I believe.
Also, this is probably a user list question. On Thu, Aug 18, 2016 at 10:59 AM Minudika Malshan <minudika...@gmail.com> wrote: > Hi all, > > Most of Spark ML algorithms requires a dataset to train the model. > I would like to know how to convert a spark *data-frame* to a *dataset* > using Java. > Your support is much appreciated. > > Thank you! > Minudika >
