1 files changed, 6 insertions, 1 deletions
diff --git a/mllib/src/main/scala/org/apache/spark/ml/evaluation/Evaluator.scala b/mllib/src/main/scala/org/apache/spark/ml/evaluation/Evaluator.scala
index 13bd3307f8..0f22cca3a7 100644
--- a/mllib/src/main/scala/org/apache/spark/ml/evaluation/Evaluator.scala
+++ b/mllib/src/main/scala/org/apache/spark/ml/evaluation/Evaluator.scala
@@ -17,7 +17,7 @@
 
 package org.apache.spark.ml.evaluation
 
-import org.apache.spark.annotation.DeveloperApi
+import org.apache.spark.annotation.{DeveloperApi, Since}
 import org.apache.spark.ml.param.{ParamMap, Params}
 import org.apache.spark.sql.DataFrame
 
@@ -25,6 +25,7 @@ import org.apache.spark.sql.DataFrame
  * :: DeveloperApi ::
  * Abstract class for evaluators that compute metrics from predictions.
  */
+@Since("1.5.0")
 @DeveloperApi
 abstract class Evaluator extends Params {
 
@@ -35,6 +36,7 @@ abstract class Evaluator extends Params {
    * @param paramMap parameter map that specifies the input columns and output metrics
    * @return metric
    */
+  @Since("1.5.0")
   def evaluate(dataset: DataFrame, paramMap: ParamMap): Double = {
     this.copy(paramMap).evaluate(dataset)
   }
@@ -44,6 +46,7 @@ abstract class Evaluator extends Params {
    * @param dataset a dataset that contains labels/observations and predictions.
    * @return metric
    */
+  @Since("1.5.0")
   def evaluate(dataset: DataFrame): Double
 
   /**
@@ -51,7 +54,9 @@ abstract class Evaluator extends Params {
    * or minimized (false).
    * A given evaluator may support multiple metrics which may be maximized or minimized.
    */
+  @Since("1.5.0")
   def isLargerBetter: Boolean = true
 
+  @Since("1.5.0")
   override def copy(extra: ParamMap): Evaluator
 }