[jira] [Updated] (SPARK-38588) Validate input dataset of ml.classification

["Sean R. Owen (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-38588?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean R. Owen updated SPARK-38588:
---------------------------------
    Priority: Minor  (was: Major)

> Validate input dataset of ml.classification
> -------------------------------------------
>
>                 Key: SPARK-38588
>                 URL: https://issues.apache.org/jira/browse/SPARK-38588
>             Project: Spark
>          Issue Type: Sub-task
>          Components: ML
>    Affects Versions: 3.4.0
>            Reporter: zhengruifeng
>            Priority: Minor
>             Fix For: 3.4.0
>
>
> LinearSVC should fail fast if the input dataset contains invalid values.
>  
> {code:java}
> import org.apache.spark.ml.feature._
> import org.apache.spark.ml.linalg._
> import org.apache.spark.ml.classification._
> import org.apache.spark.ml.clustering._
> val df = sc.parallelize(Seq(LabeledPoint(1.0, Vectors.dense(1.0, Double.NaN)), LabeledPoint(0.0, Vectors.dense(Double.PositiveInfinity, 2.0)))).toDF()
> val svc = new LinearSVC()
> val model = svc.fit(df)
> scala> model.intercept
> res0: Double = NaN
> scala> model.coefficients
> res1: org.apache.spark.ml.linalg.Vector = [NaN,NaN] {code}



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