diff options
author | Dominik Dahlem <dominik.dahlem@gmail.com> | 2015-12-08 18:54:10 -0800 |
---|---|---|
committer | Joseph K. Bradley <joseph@databricks.com> | 2015-12-08 18:54:10 -0800 |
commit | a0046e379bee0852c39ece4ea719cde70d350b0e (patch) | |
tree | 098dcfda07247f00245451292ef0f6961a95555e /mllib | |
parent | 765c67f5f2e0b1367e37883f662d313661e3a0d9 (diff) | |
download | spark-a0046e379bee0852c39ece4ea719cde70d350b0e.tar.gz spark-a0046e379bee0852c39ece4ea719cde70d350b0e.tar.bz2 spark-a0046e379bee0852c39ece4ea719cde70d350b0e.zip |
[SPARK-11343][ML] Documentation of float and double prediction/label columns in RegressionEvaluator
felixcheung , mengxr
Just added a message to require()
Author: Dominik Dahlem <dominik.dahlem@gmail.combination>
Closes #9598 from dahlem/ddahlem_regression_evaluator_double_predictions_message_04112015.
Diffstat (limited to 'mllib')
-rw-r--r-- | mllib/src/main/scala/org/apache/spark/ml/evaluation/RegressionEvaluator.scala | 9 |
1 files changed, 7 insertions, 2 deletions
diff --git a/mllib/src/main/scala/org/apache/spark/ml/evaluation/RegressionEvaluator.scala b/mllib/src/main/scala/org/apache/spark/ml/evaluation/RegressionEvaluator.scala index daaa174a08..b6b25ecd01 100644 --- a/mllib/src/main/scala/org/apache/spark/ml/evaluation/RegressionEvaluator.scala +++ b/mllib/src/main/scala/org/apache/spark/ml/evaluation/RegressionEvaluator.scala @@ -73,10 +73,15 @@ final class RegressionEvaluator @Since("1.4.0") (@Since("1.4.0") override val ui @Since("1.4.0") override def evaluate(dataset: DataFrame): Double = { val schema = dataset.schema + val predictionColName = $(predictionCol) val predictionType = schema($(predictionCol)).dataType - require(predictionType == FloatType || predictionType == DoubleType) + require(predictionType == FloatType || predictionType == DoubleType, + s"Prediction column $predictionColName must be of type float or double, " + + s" but not $predictionType") + val labelColName = $(labelCol) val labelType = schema($(labelCol)).dataType - require(labelType == FloatType || labelType == DoubleType) + require(labelType == FloatType || labelType == DoubleType, + s"Label column $labelColName must be of type float or double, but not $labelType") val predictionAndLabels = dataset .select(col($(predictionCol)).cast(DoubleType), col($(labelCol)).cast(DoubleType)) |