Hello,
I'm trying to extend Spark so that it can use our own binary format as a
read-only source for pipeline based computations.
I already have a java class that gives me enough elements to build a
complete StructType with enough metadata (NominalAttribute for instance).
It also gives me the r
We've developed Scala UDFs internally to address some of these issues and
we'd love to upstream them back to spark. Just trying to figure out what
the vector support looks like on the road map.
would it be best to put this functionality into the Imputer,
VectorAssembler or maybe try to give it mor
add dev list. Who can help on below question?
Thanks & Best Regards,
LL
-- Forwarded message --
From: Lionel Luffy
Date: Fri, Jun 23, 2017 at 11:20 AM
Subject: Re: A question about rdd transformation
To: u...@spark.apache.org
Now I found the root cause is a Wrapper class in Any
