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Posted to issues@spark.apache.org by "Derrick Burns (JIRA)" <ji...@apache.org> on 2015/01/15 08:19:34 UTC
[jira] [Updated] (SPARK-5186) Vector.equals and Vector.hashCode
are very inefficient and fail on SparseVectors with large size
[ https://issues.apache.org/jira/browse/SPARK-5186?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Derrick Burns updated SPARK-5186:
---------------------------------
Summary: Vector.equals and Vector.hashCode are very inefficient and fail on SparseVectors with large size (was: Vector.equals and Vector.hashCode are very inefficient)
> Vector.equals and Vector.hashCode are very inefficient and fail on SparseVectors with large size
> -------------------------------------------------------------------------------------------------
>
> Key: SPARK-5186
> URL: https://issues.apache.org/jira/browse/SPARK-5186
> Project: Spark
> Issue Type: Bug
> Components: MLlib
> Affects Versions: 1.2.0
> Reporter: Derrick Burns
> Original Estimate: 0.25h
> Remaining Estimate: 0.25h
>
> The implementation of Vector.equals and Vector.hashCode are correct but slow for SparseVectors that are truly sparse.
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