Hi Samir,
either use *dataframe.na.fill()* method or the *nvl()* UDF when
selecting features:
val train = sqlContext.sql("SELECT ... nvl(Field, 1.0) AS Field ...
FROM test")
--
Bedrytski Aliaksandr
sp...@bedryt.ski
On Wed, Aug 10, 2016, at 11:19, Yanbo Liang wrote:
> Hi Samir,
>
> Did
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
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
