You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Dongjoon Hyun (Jira)" <ji...@apache.org> on 2020/03/16 22:55:05 UTC
[jira] [Updated] (SPARK-22115) Add operator for linalg Matrix and
Vector
[ https://issues.apache.org/jira/browse/SPARK-22115?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Dongjoon Hyun updated SPARK-22115:
----------------------------------
Affects Version/s: (was: 3.0.0)
3.1.0
> Add operator for linalg Matrix and Vector
> -----------------------------------------
>
> Key: SPARK-22115
> URL: https://issues.apache.org/jira/browse/SPARK-22115
> Project: Spark
> Issue Type: Improvement
> Components: ML, MLlib
> Affects Versions: 3.1.0
> Reporter: Peng Meng
> Priority: Major
>
> For example, there are many code in LDA like this:
> {code:java}
> phiNorm := expElogbetad * expElogthetad +:+ 1e-100
> {code}
> expElogbetad is a breeze Matrix, expElogthetad is a breeze Vector,
> This code will call a blas GEMV, then loop the result (:+ 1e-100)
> Actually, this can be done with only GEMV, because the standard interface of gemv is :
> gemv(alpha, A, x, beta, y) //y := alpha*A*x + beta*y
> We can provide some operators (e.g. Element-wise product (:*), Element-wise sum (:+)) to Spark linalg Matrix and Vector, and replace breeze Matrix and Vector by Spark linalg Matrix and Vector.
> Then for all the cases like: y = alpha*A*x + beta*y, we can call GEMM or GEMV for it.
> Don't need to call GEMM or GEMV and then loop the result (for the add) as the current implementation.
> I can help to do it if we plan to add this feature.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org