[jira] [Resolved] (SPARK-30813) Matrices.sprand mistakes in comments

["Sean R. Owen (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-30813?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean R. Owen resolved SPARK-30813.
----------------------------------
    Fix Version/s: 3.0.0
                   2.4.6
       Resolution: Fixed

Issue resolved by pull request 27564
[https://github.com/apache/spark/pull/27564]

> Matrices.sprand mistakes in comments 
> -------------------------------------
>
>                 Key: SPARK-30813
>                 URL: https://issues.apache.org/jira/browse/SPARK-30813
>             Project: Spark
>          Issue Type: Bug
>          Components: ML
>    Affects Versions: 3.0.0
>            Reporter: Xiaochang Wu
>            Assignee: Xiaochang Wu
>            Priority: Trivial
>             Fix For: 2.4.6, 3.0.0
>
>
> /**
>  * Generate a `SparseMatrix` consisting of `i.i.d.` *gaussian random* numbers.
> >> *should be "uniform random" here*
> * @param numRows number of rows of the matrix
>  * @param numCols number of columns of the matrix
>  * @param density the desired density for the matrix
>  * @param rng a random number generator
>  * @return `Matrix` with size `numRows` x `numCols` and values in U(0, 1)
>  */
>  @Since("2.0.0")
>  def sprand(numRows: Int, numCols: Int, density: Double, rng: Random): Matrix =
>  SparseMatrix.sprand(numRows, numCols, density, rng)



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