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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