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https://issues.apache.org/jira/browse/SPARK-5885?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14953236#comment-14953236
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Alexis Seigneurin commented on SPARK-5885:
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{quote}
I tried to create a pipeline in which the output of a VectorAssembler was fed
into a StandardScaler. This fails because the Assembler produced a sparse
vector whereas the scaler expected a dense vector.
{quote}
I come across the same issue. Has this been addressed?
> Add VectorAssembler
> -------------------
>
> Key: SPARK-5885
> URL: https://issues.apache.org/jira/browse/SPARK-5885
> Project: Spark
> Issue Type: Sub-task
> Components: ML
> Reporter: Xiangrui Meng
> Assignee: Xiangrui Meng
> Fix For: 1.4.0
>
>
> `VectorAssembler` takes a list of columns (of type double/int/vector) and
> merge them into a single vector column.
> {code}
> val va = new VectorAssembler()
> .setInputCols("userFeatures", "dayOfWeek", "timeOfDay")
> .setOutputCol("features")
> {code}
> In the first version, it should be okay if it doesn't handle ML attributes
> (SPARK-4588).
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