GitHub user huangweizhe123 opened a pull request:

    https://github.com/apache/spark/pull/21612

    [SPARK-24628][MLlib]If you want to create a dense matrix ((1.0, 2.0), (3.0, 
4.0), (5.0, 6…

    ….0)), the list should be [1, 3, 5, 2, 4, 6].
    
    ## What changes were proposed in this pull request?
    
    The example wants to create a dense matrix ((1.0, 2.0), (3.0, 4.0), (5.0, 
6.0)), but the list is given as [1, 2, 3, 4, 5, 6]. Now it is changed as [1, 3, 
5, 2, 4, 6].
    
    ## How was this patch tested?
    
    This can be simply tested by running the code below using pyspark.
    
    from pyspark.mllib.linalg import Matrix, Matrices
    dm2 = Matrices.dense(3, 2, [1, 3, 5, 2, 4, 6])
    dm2.toArray()
    
    The result is like
    
    array([[ 1.,  2.],
           [ 3.,  4.],
           [ 5.,  6.]])
    
    Author: Weizhe Huang <[email protected]>
    
    Please review http://spark.apache.org/contributing.html before opening a 
pull request.


You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/huangweizhe123/spark my_change

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/spark/pull/21612.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #21612
    
----
commit 9ecd7a897fc53f84e18c35ca605962ee54a8a554
Author: Huangweizhe <huangweizhe@...>
Date:   2018-06-22T08:42:11Z

    If you want to create a dense matrix ((1.0, 2.0), (3.0, 4.0), (5.0, 6.0)), 
the list should be [1, 3, 5, 2, 4, 6].

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