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Dmitriy Lyubimov commented on MAHOUT1599:

there's a bunch of ephemeral views in Matrices class that provide it. Our ALS and SSVD stuff
uses it a lot. E.g. a view with values from U(1,1)
{code}
rndView = Matrices.symmetricUniformView(...)
{code}
if you want to materialize a random view (as a concrete modifiable matrix) you can clone it
in a matrix
{code}
rndView = Matrices.symmetricUniformView(...) cloned
{code}
I think there's currently support for U(1,1), U(0,1) and N(0,1) matrix views.
Matrices also (i believe) contain methods that accept functions populating views. (functions
must provide idempotent filling of course in order for view to work).
On top of it, there's some very brief functional support in mathscala too.
There is a slight inconsistency in a sense that there are mahoutmath notion of functions,
which are not compatible with scala functions (and there's, as it stands, no implicit conversion
for them). But it is generally also possible to populate a dense matrix with a function literal
in scala as well, e.g. :
{code}
rndA = new DenseMatrix(m,n) := { (r,c,v) => rnd.nextDouble }
{code}
As such, i think this patch is redundant
> Add rand() operator to mathscala
> 
>
> Key: MAHOUT1599
> URL: https://issues.apache.org/jira/browse/MAHOUT1599
> Project: Mahout
> Issue Type: Improvement
> Components: Math
> Affects Versions: 0.9
> Reporter: Felix SchÃ¼ler
> Priority: Trivial
> Labels: dsl, math, operator, random, scala
> Attachments: MAHOUT1599.patch
>
>
> I was looking at the scalamath 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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