Note that this is not a sparsified operation though by default.
On Apr 26, 2014 9:26 AM, "Dmitriy Lyubimov" <dlie...@gmail.com> wrote:
> Assignment accepts a function for inplace operators i.e scala way is
> a := (r,c,x) => log(x)
> On Apr 26, 2014 7:45 AM, "tuxdna" <tux...@gmail.com> wrote:
>
>> First of all Mahout's Math-Scala DSL, is really nice. I can write
>> really compact code.
>>
>> Here is a my problem description ( i referred to [1] ).
>>
>> First I import all the required classes in Scala REPL:
>>
>> import org.apache.mahout.math.{ Vector => MahoutVector }
>> import org.apache.mahout.math.scalabindings._
>> import org.apache.mahout.math.DenseMatrix
>> import scala.util.Random
>> import org.apache.mahout.math.Matrix
>> import Math.min
>> import RLikeOps._
>>
>> Then I create a matrix
>>
>> scala> val a = dense((1, 2, 3), (3, 4, 5))
>> a: org.apache.mahout.math.DenseMatrix =
>> {
>> 0 => {0:1.0,1:2.0,2:3.0}
>> 1 => {0:3.0,1:4.0,2:5.0}
>> }
>>
>>
>> Appply the function using a loop:
>>
>> scala> for(r <- 0 until a.numRows; c <- 0 until a(r,::).size) { a(r,c)
>> = Math.log(a(r,c)) }
>> warning: there were 1 deprecation warnings; re-run with -deprecation for
>> details
>>
>> The resulting matrix
>>
>> scala> a
>> res35: org.apache.mahout.math.DenseMatrix =
>> {
>> 0 => {1:0.6931471805599453,2:1.0986122886681098}
>> 1 =>
>> {0:1.0986122886681098,1:1.3862943611198906,2:1.6094379124341003}
>> }
>>
>>
>> I want to apply an arbitrary function ( such as Math.log, or a
>> function defined by me ), to a matrix or vector withoug using any
>> loops. This is possible in Octave/Matlab as described here [2].
>>
>> How can I do this in Mahout using Scala DSL ?
>>
>> Thanks in advance.
>>
>> Regards,
>> Saleem
>>
>> [1] https://mahout.apache.org/users/sparkbindings/home.html
>> [2]
>> http://stackoverflow.com/questions/2470844/loopless-function-calls-on-vector-matrix-members-in-matlab-octave
>>
>
