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From Javier Rey <jre...@gmail.com>
Subject Random forest binary classification H20 difference Spark
Date Mon, 08 Aug 2016 02:51:08 GMT
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

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