gt; the parallelized matrix inversion in Spark, however I am trying to use an
> existing code instead of implementing one from scratch, if available.
>
> If you reply to this email, your message will be added to the discussion
> below:
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ttps://en.wikipedia.org/wiki/Computational_
> complexity_of_mathematical_operations#Matrix_algebra
> or if you really want to dig into it
> Stoer and Bulirsch http://www.springer.com/us/book/9780387954523
>
> On Mon, Sep 26, 2016 at 11:00 PM Sean Owen wrote:
>
>> I don't recall a
at 11:00 PM Sean Owen wrote:
> I don't recall any code in Spark that computes a matrix inverse. There is
> code that solves linear systems Ax = b with a decomposition. For example
> from looking at the code recently, I think the regression implementation
> actually solves A
I don't recall any code in Spark that computes a matrix inverse. There is
code that solves linear systems Ax = b with a decomposition. For example
from looking at the code recently, I think the regression implementation
actually solves AtAx = Atb using a Cholesky decomposition. But, A =
ilable.
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Hi
I want to find matrix inverse of (XTranspose * X). PFB my code.
This code does not work for even slight larger dataset. Please help me if
the approach is correct.
val sqlQuery = "SELECT column1,column2 ,column3 FROM " + tableName
val matrixDF` = sqlContext.sql(sqlQuery)
Correction: I am not able to convert the Scala statement to java.
Hello,I am new to Spark. I am looking for a matrix inverse and multiplication
solution. I did a quick search and found a couple of solutions but my
requirements are:- large matrix (up to 2 millions x 2 m)- need to support
complex double data type- preferably in Java
There is one post
http
