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Posted to issues@spark.apache.org by "Patrick Pisciuneri (Jira)" <ji...@apache.org> on 2019/10/02 17:01:00 UTC
[jira] [Updated] (SPARK-29334) Supported vector operators in scala
should have parity with pySpark
[ https://issues.apache.org/jira/browse/SPARK-29334?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Patrick Pisciuneri updated SPARK-29334:
---------------------------------------
Description:
pySpark supports various overloaded operators for the DenseVector type that the scala class does not support.
- ML: https://github.com/apache/spark/blob/master/python/pyspark/ml/linalg/__init__.py#L441-L462
- MLLIB: https://github.com/apache/spark/blob/master/python/pyspark/mllib/linalg/__init__.py#L485-L506
We should be able to leverage the BLAS wrappers to implement these methods on the scala side.
was:
pySpark supports various overloaded operators for the DenseVector type that the scala class does not support.
# ML
https://github.com/apache/spark/blob/master/python/pyspark/ml/linalg/__init__.py#L441-L462
# MLLIB
https://github.com/apache/spark/blob/master/python/pyspark/mllib/linalg/__init__.py#L485-L506
We should be able to leverage the BLAS wrappers to implement these methods on the scala side.
> Supported vector operators in scala should have parity with pySpark
> --------------------------------------------------------------------
>
> Key: SPARK-29334
> URL: https://issues.apache.org/jira/browse/SPARK-29334
> Project: Spark
> Issue Type: Improvement
> Components: ML, MLlib
> Affects Versions: 2.3.5, 2.4.5, 3.0.0
> Reporter: Patrick Pisciuneri
> Priority: Minor
>
> pySpark supports various overloaded operators for the DenseVector type that the scala class does not support.
> - ML: https://github.com/apache/spark/blob/master/python/pyspark/ml/linalg/__init__.py#L441-L462
> - MLLIB: https://github.com/apache/spark/blob/master/python/pyspark/mllib/linalg/__init__.py#L485-L506
> We should be able to leverage the BLAS wrappers to implement these methods on the scala side.
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