[jira] [Assigned] (SPARK-15922) BlockMatrix to IndexedRowMatrix throws an error

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-15922?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-15922:
------------------------------------

    Assignee: Apache Spark

> BlockMatrix to IndexedRowMatrix throws an error
> -----------------------------------------------
>
>                 Key: SPARK-15922
>                 URL: https://issues.apache.org/jira/browse/SPARK-15922
>             Project: Spark
>          Issue Type: Bug
>          Components: MLlib
>    Affects Versions: 2.0.0
>            Reporter: Charlie Evans
>            Assignee: Apache Spark
>
> {code}
> import org.apache.spark.mllib.linalg.distributed._
> import org.apache.spark.mllib.linalg._
> val rows = IndexedRow(0L, new DenseVector(Array(1,2,3))) :: IndexedRow(1L, new DenseVector(Array(1,2,3))):: IndexedRow(2L, new DenseVector(Array(1,2,3))):: Nil
> val rdd = sc.parallelize(rows)
> val matrix = new IndexedRowMatrix(rdd, 3, 3)
> val bmat = matrix.toBlockMatrix
> val imat = bmat.toIndexedRowMatrix
> imat.rows.collect // this throws an error - Caused by: java.lang.IllegalArgumentException: requirement failed: Vectors must be the same length!
> {code}



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