Hi Minudika, To add to what Oscar said, this blog post [1] should clarify it for you. And this should be posted in the user-list not the dev.
[1] https://databricks.com/blog/2016/07/14/a-tale-of-three-apache-spark-apis-rdds-dataframes-and-datasets.html Cheers, Sachith On Thu, Aug 18, 2016 at 8:43 PM, Oscar Batori <oscarbat...@gmail.com> wrote: > 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 >> > -- Sachith Withana Software Engineer; WSO2 Inc.; http://wso2.com E-mail: sachith AT wso2.com M: +94715518127 Linked-In: <http://goog_416592669>https://lk.linkedin.com/in/sachithwithana
