In scala Spark ML Dataframes. On Sun, Sep 4, 2016 at 9:16 AM, Somasundaram Sekar < somasundar.se...@tigeranalytics.com> wrote:
> 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 >> >
