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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2014/12/24 13:55:13 UTC
[jira] [Commented] (SPARK-4956) Vector Initialization error when
initialize a Sparse Vector by calling Vectors.sparse(size, indices, values)
[ https://issues.apache.org/jira/browse/SPARK-4956?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14258225#comment-14258225 ]
Sean Owen commented on SPARK-4956:
----------------------------------
Yes, I see the same behavior. Breeze doesn't check the ordering (either) but requires ordered indices. I suggest simply failing if the indices are not ordered. To start, at least.
> Vector Initialization error when initialize a Sparse Vector by calling Vectors.sparse(size, indices, values)
> ------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-4956
> URL: https://issues.apache.org/jira/browse/SPARK-4956
> Project: Spark
> Issue Type: Bug
> Components: MLlib
> Affects Versions: 1.3.0
> Reporter: liaoyuxi
> Priority: Minor
> Labels: patch
> Original Estimate: 1m
> Remaining Estimate: 1m
>
> When I initialize a sparse vector by calling the Vectors.sparse(size, indices, values), the vector will be all zeros if the indices is not ordered without giving any error or warning.
> A simple sentence to order the indicies with values can fix this bug
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