diff --git a/docs/mllib-collaborative-filtering.md b/docs/mllib-collaborative-filtering.md index 7b397e30b2d90..dfdf6216b270c 100644 --- a/docs/mllib-collaborative-filtering.md +++ b/docs/mllib-collaborative-filtering.md @@ -107,7 +107,8 @@ other signals), you can use the `trainImplicit` method to get better results. {% highlight scala %} val alpha = 0.01 -val model = ALS.trainImplicit(ratings, rank, numIterations, alpha) +val lambda = 0.01 +val model = ALS.trainImplicit(ratings, rank, numIterations, lambda, alpha) {% endhighlight %}