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https://issues.apache.org/jira/browse/SPARK-20711?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng reopened SPARK-20711:
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> MultivariateOnlineSummarizer incorrect min/max for identical NaN feature
> ------------------------------------------------------------------------
>
> Key: SPARK-20711
> URL: https://issues.apache.org/jira/browse/SPARK-20711
> Project: Spark
> Issue Type: Bug
> Components: ML
> Affects Versions: 2.2.0
> Reporter: zhengruifeng
> Priority: Minor
>
> {code}
> scala> val summarizer = new MultivariateOnlineSummarizer()
> summarizer: org.apache.spark.mllib.stat.MultivariateOnlineSummarizer =
> org.apache.spark.mllib.stat.MultivariateOnlineSummarizer@2ac58d
> scala> summarizer.add(Vectors.dense(Double.NaN, -10.0))
> res20: summarizer.type =
> org.apache.spark.mllib.stat.MultivariateOnlineSummarizer@2ac58d
> scala> summarizer.add(Vectors.dense(Double.NaN, 2.0))
> res21: summarizer.type =
> org.apache.spark.mllib.stat.MultivariateOnlineSummarizer@2ac58d
> scala> summarizer.min
> res22: org.apache.spark.mllib.linalg.Vector = [1.7976931348623157E308,-10.0]
> scala> summarizer.max
> res23: org.apache.spark.mllib.linalg.Vector = [-1.7976931348623157E308,2.0]
> {code}
> For a feature only containing {{Double.NaN}}, the returned max is
> {{Double.MinValue}} and the min is {{Double.MaxValue}}.
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