compure score once

Author: mengxr

mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala

@@ -128,12 +128,10 @@ class LogisticRegressionModel private[ml] (
       1.0 / (1.0 + math.exp(-margin))
     }
     val t = map(threshold)
-    val predict: Vector => Double = (v) => {
-      if (score(v) > t) 1.0 else 0.0
+    val predict: Double => Double = (score) => {
+      if (score > t) 1.0 else 0.0
     }
-    dataset.select(
-      Star(None),
-      score.call(map(featuresCol).attr) as map(scoreCol),
-      predict.call(map(featuresCol).attr) as map(predictionCol))
+    dataset.select(Star(None), score.call(map(featuresCol).attr) as map(scoreCol))
+      .select(Star(None), predict.call(map(scoreCol).attr) as map(predictionCol))
   }
 }