Hi,
I am trying to run the straightforward example of SVm but I am getting low
accuracy (around 50%) when I predict using the same data I used for
training. I am probably doing the prediction in a wrong way. My code is
below. I would appreciate any help.
import java.util.List;
import org.apache
We need to first implement subtract and intersect in Spark SQL natively first
(i.e. add physical operator for them rather than using RDD.subtract/intersect).
Then it should be pretty easy to do that, given it is just about injecting the
right exchange operators.
> On Nov 27, 2015, at 11:19 PM
There is a bug at this page in the examples
I have file it in the JIRA It's SPARK-12019.
I don't know how to change the page.
But I think an example that shows how to write options would be great.
Like
sc <- sparkR.init(master="yarn-client",appName= "SparkR", sparkHome =
"/home/spark",
Yes - please see the code example on the SparkR API doc:
http://spark.apache.org/docs/latest/api/R/read.df.html
Suggestion or contribution to improve the doc is welcome!
> Date: Thu, 26 Nov 2015 15:08:31 -0700
> From: s...@phemi.com
> To: dev@spark.apache.org
> Subject: Re: SparkR read.df Optio
Hi,
I have seen massive gains with the broadcast hint for joins with
DataFrames, and I was wondering if we have thought about allowing the
broadcast hint for the implementation of subtract and intersect.
Right now, when I try it, it says that there is no plan for the broadcast
hint.
Justin
