[jira] [Created] (SPARK-17792) L-BFGS solver for linear regression does not accept general numeric label column types

["Seth Hendrickson (JIRA)" <ji...@apache.org>]

Seth Hendrickson created SPARK-17792:
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             Summary: 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
            Priority: Minor


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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