diff options
Diffstat (limited to 'examples')
| -rw-r--r-- | examples/src/main/scala/org/apache/spark/examples/mllib/DecisionTreeRunner.scala | 6 |
1 files changed, 5 insertions, 1 deletions
diff --git a/examples/src/main/scala/org/apache/spark/examples/mllib/DecisionTreeRunner.scala b/examples/src/main/scala/org/apache/spark/examples/mllib/DecisionTreeRunner.scala index b0613632c9..3381941673 100644 --- a/examples/src/main/scala/org/apache/spark/examples/mllib/DecisionTreeRunner.scala +++ b/examples/src/main/scala/org/apache/spark/examples/mllib/DecisionTreeRunner.scala @@ -22,7 +22,6 @@ import scala.language.reflectiveCalls import scopt.OptionParser import org.apache.spark.{SparkConf, SparkContext} -import org.apache.spark.SparkContext._ import org.apache.spark.mllib.evaluation.MulticlassMetrics import org.apache.spark.mllib.linalg.Vector import org.apache.spark.mllib.regression.LabeledPoint @@ -354,7 +353,11 @@ object DecisionTreeRunner { /** * Calculates the mean squared error for regression. + * + * This is just for demo purpose. In general, don't copy this code because it is NOT efficient + * due to the use of structural types, which leads to one reflection call per record. */ + // scalastyle:off structural.type private[mllib] def meanSquaredError( model: { def predict(features: Vector): Double }, data: RDD[LabeledPoint]): Double = { @@ -363,4 +366,5 @@ object DecisionTreeRunner { err * err }.mean() } + // scalastyle:on structural.type } |