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https://issues.apache.org/jira/browse/SPARK-7809?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-7809:
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Assignee: (was: Apache Spark)
> MultivariateOnlineSummarizer should allow users to configure what to compute
> ----------------------------------------------------------------------------
>
> Key: SPARK-7809
> URL: https://issues.apache.org/jira/browse/SPARK-7809
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 1.4.0
> Reporter: Xiangrui Meng
>
> Now MultivariateOnlineSummarizer computes every summary statistics it can
> provide, which is okay and convenient for small number of features. It the
> feature dimension is large, this becomes expensive. So we should add setters
> to allow users to configure what to compute.
> {code}
> val summarizer = new MultivariateOnlineSummarizer()
> .withMean(false)
> .withMax(false)
> {code}
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