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| -rw-r--r-- | docs/mllib-collaborative-filtering.md | 3 |
1 files changed, 2 insertions, 1 deletions
diff --git a/docs/mllib-collaborative-filtering.md b/docs/mllib-collaborative-filtering.md index 7b397e30b2..dfdf6216b2 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 %} </div> |