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https://issues.apache.org/jira/browse/SPARK-5116?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14267176#comment-14267176
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Apache Spark commented on SPARK-5116:
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User 'coderxiang' has created a pull request for this issue:
https://github.com/apache/spark/pull/3919
> Add extractor for SparseVector and DenseVector in MLlib
> --------------------------------------------------------
>
> Key: SPARK-5116
> URL: https://issues.apache.org/jira/browse/SPARK-5116
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Reporter: Shuo Xiang
> Priority: Minor
>
> Add extractor for SparseVector and DenseVector in MLlib to save some code
> while performing pattern matching on Vectors. For example, previously we need
> to use:
> vec match {
> case dv: DenseVector =>
> val values = dv.values
> ...
> case sv: SparseVector =>
> val indices = sv.indices
> val values = sv.values
> val size = sv.size
> ...
> }
> with extractor it is:
> vec match {
> case DenseVector(values) =>
> ...
> case SparseVector(size, indices, values) =>
> ...
> }
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