localDF is a pure R data frame and as.vector will work with no problems, as
for calling it in the SparkR objects, try calling collect before you call
as.vector (or in your case, the algorithms), that should solve your problem.
On Mon, Sep 21, 2015 at 8:48 AM, Ellen Kraffmiller <
Thank you for the link! I was using
http://apache-spark-user-list.1001560.n3.nabble.com/, and I didn't see
replies there.
Regarding your code example, I'm doing the same thing and successfully
creating the rdd, but the problem is that when I call a clustering
algorithm like amap::hcluster(), I
Thanks for your response. Is there a reason why this thread isn't
appearing on the mailing list? So far, I only see my post, with no
answers, although I have received 2 answers via email. It would be nice if
other people could see these answers as well.
On Thu, Sep 17, 2015 at 2:22 AM, Sun,
I see the thread with all the responses on the bottom at mail-archive :
https://www.mail-archive.com/user%40spark.apache.org/msg36882.html
On Fri, Sep 18, 2015 at 7:58 AM, Ellen Kraffmiller <
ellen.kraffmil...@gmail.com> wrote:
> Thanks for your response. Is there a reason why this thread
The existing algorithms operating on R data.frame can't simply operate on
SparkR DataFrame. They have to be re-implemented to be based on SparkR
DataFrame API.
-Original Message-
From: ekraffmiller [mailto:ellen.kraffmil...@gmail.com]
Sent: Thursday, September 17, 2015 3:30 AM
To:
You can find some more info about SparkR at
https://spark.apache.org/docs/latest/sparkr.html
Looking at your sample app, with the provided content, you should be able
to run it on SparkR with something like:
#load SparkR with support for csv
sparkR --packages com.databricks:spark-csv_2.10:1.0.3
Also, just for completeness, matrix.csv contains:
1,2,3
4,5,6
7,8,9
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