Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/3118#discussion_r19986248
--- Diff:
mllib/src/test/scala/org/apache/spark/mllib/evaluation/BinaryClassificationMetricsSuite.scala
---
@@ -59,4 +59,60 @@ class BinaryClassificationMetricsSuite extends FunSuite
with LocalSparkContext {
assert(metrics.precisionByThreshold().collect().zip(threshold.zip(precision)).forall(cond2))
assert(metrics.recallByThreshold().collect().zip(threshold.zip(recall)).forall(cond2))
}
+
+ test("binary evaluation metrics for All Positive RDD") {
+ val scoreAndLabels = sc.parallelize(Seq((0.5, 1.0)), 2)
+ val metrics: BinaryClassificationMetrics = new
BinaryClassificationMetrics(scoreAndLabels)
+
+ val threshold = Seq(0.5)
+ val precision = Seq(1.0)
+ val recall = Seq(1.0)
+ val fpr = Seq(0.0)
+ val rocCurve = Seq((0.0, 0.0)) ++ fpr.zip(recall) ++ Seq((1.0, 1.0))
+ val pr = recall.zip(precision)
+ val prCurve = Seq((0.0, 1.0)) ++ pr
+ val f1 = pr.map { case (r, p) => 2.0 * (p * r) / (p + r)}
+ val f2 = pr.map { case (r, p) => 5.0 * (p * r) / (4.0 * p + r)}
+
+ assert(metrics.thresholds().collect().zip(threshold).forall(cond1))
+ assert(metrics.roc().collect().zip(rocCurve).forall(cond2))
+ assert(metrics.areaUnderROC() ~== AreaUnderCurve.of(rocCurve) absTol
1E-5)
+ assert(metrics.pr().collect().zip(prCurve).forall(cond2))
+ assert(metrics.areaUnderPR() ~== AreaUnderCurve.of(prCurve) absTol
1E-5)
+
assert(metrics.fMeasureByThreshold().collect().zip(threshold.zip(f1)).forall(cond2))
+
assert(metrics.fMeasureByThreshold(2.0).collect().zip(threshold.zip(f2)).forall(cond2))
+
assert(metrics.precisionByThreshold().collect().zip(threshold.zip(precision)).forall(cond2))
+
assert(metrics.recallByThreshold().collect().zip(threshold.zip(recall)).forall(cond2))
+ }
+
+ test("binary evaluation metrics for All Negative RDD") {
+ val scoreAndLabels = sc.parallelize(Seq((0.5, 0.0)), 2)
+ val metrics: BinaryClassificationMetrics = new
BinaryClassificationMetrics(scoreAndLabels)
+
+ val threshold = Seq(0.5)
+ val precision = Seq(0.0)
+ val recall = Seq(0.0)
+ val fpr = Seq(1.0)
+ val rocCurve = Seq((0.0, 0.0)) ++ fpr.zip(recall) ++ Seq((1.0, 1.0))
+ val pr = recall.zip(precision)
+ val prCurve = Seq((0.0, 1.0)) ++ pr
+ val f1 = pr.map {
+ case (0,0) => 0.0
+ case (r, p) => 2.0 * (p * r) / (p + r)
+ }
+ val f2 = pr.map {
+ case (0,0) => 0.0
--- End diff --
ditto (space)
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