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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2015/08/14 01:03:46 UTC
[jira] [Updated] (SPARK-9953) ML Vector, Matrix semantic equality +
hashcode
[ https://issues.apache.org/jira/browse/SPARK-9953?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Joseph K. Bradley updated SPARK-9953:
-------------------------------------
Component/s: PySpark
> ML Vector, Matrix semantic equality + hashcode
> ----------------------------------------------
>
> Key: SPARK-9953
> URL: https://issues.apache.org/jira/browse/SPARK-9953
> Project: Spark
> Issue Type: Umbrella
> Components: MLlib, PySpark
> Reporter: Joseph K. Bradley
>
> Umbrella for changing MLlib's local linear algebra types (Vector, Matrix, DenseVector, SparseVector, DenseMatrix, SparseMatrix) to implement semantic equality, taking transpose, zeros, and sparsity into account.
> This will also require updating hashcode to match.
> See [SPARK-9750] for the original discussion.
> equality, hash rules:
> * Python: [https://docs.python.org/2/reference/datamodel.html#object.__hash__]
> * Scala: [http://www.artima.com/lejava/articles/equality.html]
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