Hi Samir, Did you use VectorAssembler to assemble some columns into the feature column? If there are NULLs in your dataset, VectorAssembler will throw this exception. You can use DataFrame.drop() or DataFrame.replace() to drop/substitute NULL values.
Thanks Yanbo 2016-08-07 19:51 GMT-07:00 Javier Rey <jre...@gmail.com>: > Hi everybody. > > I have executed RF on H2O I didn't troubles with nulls values, by in > contrast in Spark using dataframes and ML library I obtain this error,l I > know my dataframe contains nulls, but I understand that Random Forest > supports null values: > > "Values to assemble cannot be null" > > Any advice, that framework can handle this issue?. > > Regards, > > Samir >
