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https://issues.apache.org/jira/browse/SPARK-17792?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang updated SPARK-17792:
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Fix Version/s: 2.0.2
> L-BFGS solver for linear regression does not accept general numeric label
> column types
> --------------------------------------------------------------------------------------
>
> Key: SPARK-17792
> URL: https://issues.apache.org/jira/browse/SPARK-17792
> Project: Spark
> Issue Type: Bug
> Components: ML
> Reporter: Seth Hendrickson
> Assignee: Seth Hendrickson
> Priority: Minor
> Fix For: 2.0.2, 2.1.0
>
>
> There's a bug in accepting numeric types for linear regression. We cast the
> label to {{DoubleType}} in one spot where we use normal solver, but not for
> the l-bfgs solver. The following can reproduce the problem:
> {code}
> import org.apache.spark.ml.feature.LabeledPoint
> import org.apache.spark.ml.linalg.{Vector, DenseVector, Vectors}
> import org.apache.spark.ml.regression.LinearRegression
> import org.apache.spark.sql.types._
> val df = Seq(LabeledPoint(1.0,
> Vectors.dense(1.0))).toDF().withColumn("weight", lit(1.0).cast(LongType))
> val lr = new LinearRegression().setSolver("l-bfgs").setWeightCol("weight")
> lr.fit(df)
> {code}
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