Github user MLnick commented on the issue:
https://github.com/apache/spark/pull/18022
Yeah you can just open a small follow up PR
On Fri, 2 Jun 2017 at 15:10, davideis <notificati...@github.com> wrote:
> *@davideis* commented on this pull request.
> ------------------------------
>
> In mllib/src/test/scala/org/apache/spark/ml/recommendation/ALSSuite.scala
> <https://github.com/apache/spark/pull/18022#discussion_r119852009>:
>
> > @@ -455,6 +487,22 @@ class ALSSuite
> targetRMSE = 0.3)
> }
>
> + test("implicit feedback regression") {
> + val trainingWithNeg = sc.parallelize(Array(Rating(0, 0, 1),
Rating(1, 1, 1), Rating(0, 1, -3)))
> + val trainingWithZero = sc.parallelize(Array(Rating(0, 0, 1),
Rating(1, 1, 1), Rating(0, 1, 0)))
> + val modelWithNeg =
> + trainALS(trainingWithNeg, rank = 1, maxIter = 5, regParam = 0.01,
implicitPrefs = true)
> + val modelWithZero =
> + trainALS(trainingWithZero, rank = 1, maxIter = 5, regParam = 0.01,
implicitPrefs = true)
> + val userFactorsNeg = modelWithNeg.userFactors
> + val itemFactorsNeg = modelWithNeg.itemFactors
> + val userFactorsZero = modelWithZero.userFactors
> + val itemFactorsZero = modelWithZero.itemFactors
> + userFactorsNeg.collect().foreach(arr => logInfo(s"implicit test " +
arr.mkString(" ")))
>
> Good point, I meant to remove, shall I open another pr?
>
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