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[SPARK-19940][ML][MINOR] FPGrowthModel.transform should skip duplicated items #17283

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[SPARK-19940][ML][MINOR] FPGrowthModel.transform should skip duplicated items #17283

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4 changes: 2 additions & 2 deletions mllib/src/main/scala/org/apache/spark/ml/fpm/FPGrowth.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -245,10 +245,10 @@ class FPGrowthModel private[ml] (
rule._2.filter(item => !itemset.contains(item))
} else {
Seq.empty
})
}).distinct
} else {
Seq.empty
}.distinct }, dt)
}}, dt)
dataset.withColumn($(predictionCol), predictUDF(col($(featuresCol))))
}

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14 changes: 14 additions & 0 deletions mllib/src/test/scala/org/apache/spark/ml/fpm/FPGrowthSuite.scala
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Expand Up @@ -103,6 +103,20 @@ class FPGrowthSuite extends SparkFunSuite with MLlibTestSparkContext with Defaul
FPGrowthSuite.allParamSettings, checkModelData)
}

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("features")
val model = new FPGrowth().fit(dataset)

val prediction = model.transform(
spark.createDataFrame(Seq(Tuple1(Array("1", "2")))).toDF("features")
).first().getAs[Seq[String]]("prediction")

assert(prediction === Seq("3"))
}
}

object FPGrowthSuite {
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