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> ml-nod
ra.com> wrote:
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>> 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 At
at 11:00 PM Sean Owen <so...@cloudera.com> 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
> ac
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 = n x k
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