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https://issues.apache.org/jira/browse/SPARK-5895?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14386365#comment-14386365
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Xusen Yin edited comment on SPARK-5895 at 4/24/15 8:43 AM:
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I have another concern here.
We can not reveal each column name of a `Vector`. Given the selected features
"age" and "salary", how to select these two columns from a vector? One solution
is giving it a list of column names, say, `setColumnNames(List[String])`. But a
more natural way to solve it is adding the list of column names in the
`VectorAssembler`.
=========
OK, I think I have found the answer myself from the design doc of ML attribute.
was (Author: yinxusen):
I have another concern here.
We can not reveal each column name of a `Vector`. Given the selected features
"age" and "salary", how to select these two columns from a vector? One solution
is giving it a list of column names, say, `setColumnNames(List[String])`. But a
more natural way to solve it is adding the list of column names in the
`VectorAssembler`.
> Add VectorSlicer
> ----------------
>
> Key: SPARK-5895
> URL: https://issues.apache.org/jira/browse/SPARK-5895
> Project: Spark
> Issue Type: Sub-task
> Components: ML
> Reporter: Xiangrui Meng
>
> `VectorSlicer` takes a vector column and output a vector column with a subset
> of features.
> {code}
> val vs = new VectorSlicer()
> .setInputCol("user")
> .setSelectedFeatures("age", "salary")
> .setOutputCol("usefulUserFeatures")
> {code}
> We should allow specifying selected features by indices and by names. It
> should preserve the output names.
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