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https://issues.apache.org/jira/browse/MAHOUT-1599?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14078693#comment-14078693
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Dmitriy Lyubimov edited comment on MAHOUT-1599 at 7/30/14 12:33 AM:
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ah.sorry. there's no nonZero iterator on matrices, it seems, only on vectors.
So one of (not very efficient) corrections for the above i know of would be
{code}
for (row <- m; el <- row.nonZero) el = 5.0 + el
... or perhaps more cumbersome
m.foreach { row => row.nonZero.map { el => 5.0 + el } }
{code}
was (Author: dlyubimov):
ah.sorry. there's no nonZero iterator on matrices, it seems, only on vectors.
So one of (not very efficient) corrections for the above i know of would be
{code}
for (row <- m; el <- row.nonZero) el = 5.0 + el
{code}
> Add rand() operator to math-scala
> ---------------------------------
>
> Key: MAHOUT-1599
> URL: https://issues.apache.org/jira/browse/MAHOUT-1599
> Project: Mahout
> Issue Type: Improvement
> Components: Math
> Affects Versions: 0.9
> Reporter: Felix Schüler
> Priority: Trivial
> Labels: dsl, math, operator, random, scala
> Attachments: MAHOUT-1599.patch
>
>
> I was looking at the scala-math operators and missed a rand(m, n) operator
> that generates a m x n matrix filled with random numbers.
> I wanted random numbers from a uniform distribution over a specific interval
> so I implemented a simple uniform random number generator.
> the rand(m, n, r) function takes any AbstractSamplerFunction and fills the
> matrix entries with the numbers generated by its sample() method.
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