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From "Joseph K. Bradley (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-21681) MLOR do not work correctly when featureStd contains zero
Date Wed, 16 Aug 2017 01:20:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-21681?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Joseph K. Bradley updated SPARK-21681:
--------------------------------------
    Shepherd: Joseph K. Bradley

> MLOR do not work correctly when featureStd contains zero
> --------------------------------------------------------
>
>                 Key: SPARK-21681
>                 URL: https://issues.apache.org/jira/browse/SPARK-21681
>             Project: Spark
>          Issue Type: Bug
>          Components: ML
>    Affects Versions: 2.2.0, 2.3.0
>            Reporter: Weichen Xu
>            Assignee: Weichen Xu
>
> MLOR do not work correctly when featureStd contains zero.
> We can reproduce the bug through such dataset (features including zero variance), will
generate wrong result (all coefficients becomes 0)
> {code}
>     val multinomialDatasetWithZeroVar = {
>       val nPoints = 100
>       val coefficients = Array(
>         -0.57997, 0.912083, -0.371077,
>         -0.16624, -0.84355, -0.048509)
>       val xMean = Array(5.843, 3.0)
>       val xVariance = Array(0.6856, 0.0)  // including zero variance
>       val testData = generateMultinomialLogisticInput(
>         coefficients, xMean, xVariance, addIntercept = true, nPoints, seed)
>       val df = sc.parallelize(testData, 4).toDF().withColumn("weight", lit(1.0))
>       df.cache()
>       df
>     }
> {code}



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