Can you try this https://www.linkedin.com/pulse/hive-functions-udfudaf-udtf-examples-gaurav-singh
On 4 Sep 2016 9:38 pm, "janardhan shetty" <janardhan...@gmail.com> wrote: > Hi, > > Is there any chance that we can send entire multiple columns to an udf and > generate a new column for Spark ML. > I see similar approach as VectorAssembler but not able to use few classes > /traitslike HasInputCols, HasOutputCol, DefaultParamsWritable since they > are private. > > Any leads/examples is appreciated in this regard.. > > Requirement: > *Input*: Multiple columns of a Dataframe > *Output*: Single new modified column >
