You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:25:18 UTC
[jira] [Updated] (SPARK-9525) Optimize SparseVector initializations
in linalg
[ https://issues.apache.org/jira/browse/SPARK-9525?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-9525:
--------------------------------
Labels: bulk-closed (was: )
> Optimize SparseVector initializations in linalg
> -----------------------------------------------
>
> Key: SPARK-9525
> URL: https://issues.apache.org/jira/browse/SPARK-9525
> Project: Spark
> Issue Type: Improvement
> Components: MLlib, PySpark
> Reporter: Manoj Kumar
> Priority: Major
> Labels: bulk-closed
>
> 1. Remove sorting of indices and assume that the user gives a sorted tuple of indices, values etc
> 2. Avoid iterating twice to get the indices and values if the argument provided is a dict.
> 3. Add checks such that the length of the indices should be less than the size provided.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org