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https://issues.apache.org/jira/browse/SPARK-7785?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14555310#comment-14555310
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Xiangrui Meng commented on SPARK-7785:
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In PySpark, we should delegate all local linear algebra operations to numpy and
scipy. For the factory methods, users should use numpy/scipy directly.
> Add missing items to pyspark.mllib.linalg.Matrices
> --------------------------------------------------
>
> Key: SPARK-7785
> URL: https://issues.apache.org/jira/browse/SPARK-7785
> Project: Spark
> Issue Type: Sub-task
> Components: MLlib, PySpark
> Reporter: Manoj Kumar
>
> For DenseMatrices.
> Class Methods
> __str__, transpose
> Object Methods
> zeros, ones, eye, rand, randn, diag
> For SparseMatrices
> Class Methods
> __str__, transpose
> Object Methods,
> fromCoo, speye, sprand, sprandn, spdiag,
> Matrices Methods, horzcat, vertcat
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