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Posted to commits@spark.apache.org by me...@apache.org on 2015/05/27 03:09:00 UTC
spark git commit: [SPARK-7883] [DOCS] [MLLIB] Fixing broken
trainImplicit Scala example in MLlib Collaborative Filtering documentation.
Repository: spark
Updated Branches:
refs/heads/master 8f2082426 -> 0463428b6
[SPARK-7883] [DOCS] [MLLIB] Fixing broken trainImplicit Scala example in MLlib Collaborative Filtering documentation.
Fixing broken trainImplicit Scala example in MLlib Collaborative Filtering documentation to match one of the possible ALS.trainImplicit function signatures.
Author: Mike Dusenberry <du...@gmail.com>
Closes #6422 from dusenberrymw/Fix_MLlib_Collab_Filtering_trainImplicit_Example and squashes the following commits:
36492f4 [Mike Dusenberry] Fixing broken trainImplicit example in MLlib Collaborative Filtering documentation to match one of the possible ALS.trainImplicit function signatures.
Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/0463428b
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/0463428b
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/0463428b
Branch: refs/heads/master
Commit: 0463428b6e8f364f0b1f39445a60cd85ae7c07bc
Parents: 8f20824
Author: Mike Dusenberry <du...@gmail.com>
Authored: Tue May 26 18:08:57 2015 -0700
Committer: Xiangrui Meng <me...@databricks.com>
Committed: Tue May 26 18:08:57 2015 -0700
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docs/mllib-collaborative-filtering.md | 3 ++-
1 file changed, 2 insertions(+), 1 deletion(-)
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http://git-wip-us.apache.org/repos/asf/spark/blob/0463428b/docs/mllib-collaborative-filtering.md
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diff --git a/docs/mllib-collaborative-filtering.md b/docs/mllib-collaborative-filtering.md
index 7b397e3..dfdf621 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 %}
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