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Posted to user@spark.apache.org by Maandy <dy...@gmail.com> on 2015/08/31 10:17:39 UTC
[MLlib] DIMSUM row similarity?
I've been trying to implement cosine similarity using Spark and stumbled upon
this article
https://databricks.com/blog/2014/10/20/efficient-similarity-algorithm-now-in-spark-twitter.html
The only problem I have with it is that it seems that they assume that in my
input file each *column* is a separate tweet, hence by computing column
similarity we will find similar tweets. Hope I understood it correctly?
Since it's a Twitter based method I guess there has to be some logic behind
it but how would one go around preparing such a dataset? Personally after
doing TF-IDF on a document I get an RDD of Vectors which I can then
transform into a RowMatrix but this RowMatrix has each document as a
separate row not column hence the aforementioned method won't really help
me. I tried looking for some transpose methods but failed to find any. Am I
missing something or just misusing the available methods?
Mateusz
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Re: [MLlib] DIMSUM row similarity?
Posted by Reza Zadeh <re...@databricks.com>.
This is ongoing work tracked by SPARK-4823
<https://issues.apache.org/jira/browse/SPARK-4823> with a PR for it here:
PR6213 <https://github.com/apache/spark/pull/6213> - unfortunately the PR
submitter didn't make it for Spark 1.5.
On Mon, Aug 31, 2015 at 4:17 AM, Maandy <dy...@gmail.com> wrote:
> I've been trying to implement cosine similarity using Spark and stumbled
> upon
> this article
>
> https://databricks.com/blog/2014/10/20/efficient-similarity-algorithm-now-in-spark-twitter.html
> The only problem I have with it is that it seems that they assume that in
> my
> input file each *column* is a separate tweet, hence by computing column
> similarity we will find similar tweets. Hope I understood it correctly?
>
> Since it's a Twitter based method I guess there has to be some logic behind
> it but how would one go around preparing such a dataset? Personally after
> doing TF-IDF on a document I get an RDD of Vectors which I can then
> transform into a RowMatrix but this RowMatrix has each document as a
> separate row not column hence the aforementioned method won't really help
> me. I tried looking for some transpose methods but failed to find any. Am I
> missing something or just misusing the available methods?
>
> Mateusz
>
>
>
> --
> View this message in context:
> http://apache-spark-user-list.1001560.n3.nabble.com/MLlib-DIMSUM-row-similarity-tp24518.html
> Sent from the Apache Spark User List mailing list archive at Nabble.com.
>
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> To unsubscribe, e-mail: user-unsubscribe@spark.apache.org
> For additional commands, e-mail: user-help@spark.apache.org
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>