[jira] [Updated] (MAHOUT-1691) iterable of vectors to matrix

["Dmitriy Lyubimov (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MAHOUT-1691?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Dmitriy Lyubimov updated MAHOUT-1691:
-------------------------------------
    Assignee: Suneel Marthi

> iterable of vectors to matrix 
> ------------------------------
>
>                 Key: MAHOUT-1691
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-1691
>             Project: Mahout
>          Issue Type: Improvement
>          Components: Math
>    Affects Versions: 0.10.1
>            Reporter: Alexey Grigorev
>            Assignee: Suneel Marthi
>            Priority: Minor
>              Labels: math, scala
>
> In Mahout scala bindings, instead of writing  
> {code}
> val res = drmX.mapBlock(drmX.ncol) {
>   case (keys, block) => {
>     val copy = block.like
>     copy := block.map(row => (row - mean) / std)
>     (keys, copy)
>   }
> }
> {code}
> I would like to be able to write 
> {code}
> val res = drmX.mapBlock(drmX.ncol) {
>   case (keys, block) => {
>     keys -> block.map(row => (row - mean) / std)
>   }
> }
> {code}
> Solution: add a method for implicit conversion from iterable to Matrix:
> {code}
>   implicit def iterable2Matrix(that: Iterable[Vector]): Matrix = {
>     val first = that.head
>     val nrow = that.size
>     val ncol = first.size
>     val m = if (first.isDense) {
>       new DenseMatrix(nrow, ncol)
>     } else {
>       new SparseRowMatrix(nrow, ncol)
>     }
>     that.zipWithIndex.foreach { case (row, idx) => 
>       m.assignRow(idx.toInt, row)
>     }
>     m
>   }
> {code}
> If it sounds nice, I can send a pull request with this implemented



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