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Posted to issues@spark.apache.org by "Manoj Kumar (JIRA)" <ji...@apache.org> on 2015/04/30 18:57:07 UTC
[jira] [Comment Edited] (SPARK-7203) Python API for local linear
algebra
[ https://issues.apache.org/jira/browse/SPARK-7203?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14521821#comment-14521821 ]
Manoj Kumar edited comment on SPARK-7203 at 4/30/15 4:56 PM:
-------------------------------------------------------------
[~josephkb] I just copy pasted your comment. I added support for apply, transpose and SparseMatrix. Others are remaining.
Above, I am not listing issues with linear algebra APIs. Many elements are missing in PySpark intentionally because numpy/scipy already provide the functionality. Here's a list for reference, in case it's of interest:
DenseVector, SparseVector
missing class methods in Scala (but available as object methods):
dot
squared_distance
Vectors
parse
norm
sqdist (but this is provided by class methods, so we should reconcile)
zeros
DenseMatrix
multiply
Linalg factory classes
was (Author: mechcoder):
[~josephkb] I just copy pasted your comment. I added support for apply, transpose and SparseMatrix. Others are remaining.
Above, I am not listing issues with linear algebra APIs. Many elements are missing in PySpark intentionally because numpy/scipy already provide the functionality. Here's a list for reference, in case it's of interest:
DenseVector, SparseVector
missing class methods in Scala (but available as object methods):
dot
squared_distance
Vectors
parse
norm
sqdist (but this is provided by class methods, so we should reconcile)
zeros
DenseMatrix
multiply
Linalg factory classes
> Python API for local linear algebra
> -----------------------------------
>
> Key: SPARK-7203
> URL: https://issues.apache.org/jira/browse/SPARK-7203
> Project: Spark
> Issue Type: Umbrella
> Components: MLlib, PySpark
> Reporter: Joseph K. Bradley
> Assignee: Joseph K. Bradley
> Priority: Critical
>
> This is an umbrella JIRA for the Python API for local linear algebra, including:
> * Vector, Matrix, and their subclasses
> * helper methods and utilities
> * interactions with numpy, scipy
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