Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/17336#discussion_r109741396
--- Diff: mllib/src/test/scala/org/apache/spark/ml/fpm/FPGrowthSuite.scala
---
@@ -85,38 +85,58 @@ class FPGrowthSuite extends SparkFunSuite with
MLlibTestSparkContext with Defaul
assert(prediction.select("prediction").where("id=3").first().getSeq[String](0).isEmpty)
}
+ test("FPGrowth prediction should not contain duplicates") {
+ // This should generate rule 1 -> 3, 2 -> 3
+ val dataset = spark.createDataFrame(Seq(
+ Array("1", "3"),
+ Array("2", "3")
+ ).map(Tuple1(_))).toDF("items")
+ val model = new FPGrowth().fit(dataset)
+
+ val prediction = model.transform(
+ spark.createDataFrame(Seq(Tuple1(Array("1", "2")))).toDF("items")
+ ).first().getAs[Seq[String]]("prediction")
+
+ assert(prediction === Seq("3"))
+ }
+
+ test("FPGrowthModel setMinConfidence should affect rules generation and
transform") {
+ val model = new
FPGrowth().setMinSupport(0.1).setMinConfidence(0.1).fit(dataset)
+ val oldRulesNum = model.associationRules.count()
+ val oldPredict = model.transform(dataset)
+
+ model.setMinConfidence(0.8765)
+ assert(oldRulesNum > model.associationRules.count())
+
assert(!model.transform(dataset).collect().toSet.equals(oldPredict.collect().toSet))
+
+ // association rules should stay the same for same minConfidence
+ model.setMinConfidence(0.1)
+ assert(oldRulesNum === model.associationRules.count())
+
assert(model.transform(dataset).collect().toSet.equals(oldPredict.collect().toSet))
+ }
+
test("FPGrowth parameter check") {
val fpGrowth = new FPGrowth().setMinSupport(0.4567)
val model = fpGrowth.fit(dataset)
.setMinConfidence(0.5678)
assert(fpGrowth.getMinSupport === 0.4567)
assert(model.getMinConfidence === 0.5678)
+ MLTestingUtils.checkCopy(model)
}
test("read/write") {
def checkModelData(model: FPGrowthModel, model2: FPGrowthModel): Unit
= {
- assert(model.freqItemsets.sort("items").collect() ===
- model2.freqItemsets.sort("items").collect())
+ assert(model.freqItemsets.collect().toSet.equals(
+ model2.freqItemsets.collect().toSet))
+ assert(model.associationRules.collect().toSet.equals(
--- End diff --
Thanks for comment. I added the check since we added some internal cache
fields, I'd like to ensure it does not interfere with the model loading.
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