Repository: spark Updated Branches: refs/heads/master c6e0c2ab1 -> cedc3b5aa
ALS implicit: added missing parameter alpha in doc string Author: Felix Maximilian Möller <[email protected]> Closes #3343 from felixmaximilian/fix-documentation and squashes the following commits: 43dcdfb [Felix Maximilian Möller] Removed the information about the switch implicitPrefs. The parameter implicitPrefs cannot be set in this context because it is inherent true when calling the trainImplicit method. 7d172ba [Felix Maximilian Möller] added missing parameter alpha in doc string. Project: http://git-wip-us.apache.org/repos/asf/spark/repo Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/cedc3b5a Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/cedc3b5a Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/cedc3b5a Branch: refs/heads/master Commit: cedc3b5aa43a16e2da62f12a36317f00aa1002cc Parents: c6e0c2a Author: Felix Maximilian Möller <[email protected]> Authored: Tue Nov 18 10:08:24 2014 -0800 Committer: Xiangrui Meng <[email protected]> Committed: Tue Nov 18 10:08:24 2014 -0800 ---------------------------------------------------------------------- .../main/scala/org/apache/spark/mllib/recommendation/ALS.scala | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/spark/blob/cedc3b5a/mllib/src/main/scala/org/apache/spark/mllib/recommendation/ALS.scala ---------------------------------------------------------------------- diff --git a/mllib/src/main/scala/org/apache/spark/mllib/recommendation/ALS.scala b/mllib/src/main/scala/org/apache/spark/mllib/recommendation/ALS.scala index 038edc3..90ac252 100644 --- a/mllib/src/main/scala/org/apache/spark/mllib/recommendation/ALS.scala +++ b/mllib/src/main/scala/org/apache/spark/mllib/recommendation/ALS.scala @@ -746,7 +746,7 @@ object ALS { * @param iterations number of iterations of ALS (recommended: 10-20) * @param lambda regularization factor (recommended: 0.01) * @param blocks level of parallelism to split computation into - * @param alpha confidence parameter (only applies when immplicitPrefs = true) + * @param alpha confidence parameter * @param seed random seed */ def trainImplicit( @@ -773,7 +773,7 @@ object ALS { * @param iterations number of iterations of ALS (recommended: 10-20) * @param lambda regularization factor (recommended: 0.01) * @param blocks level of parallelism to split computation into - * @param alpha confidence parameter (only applies when immplicitPrefs = true) + * @param alpha confidence parameter */ def trainImplicit( ratings: RDD[Rating], @@ -797,6 +797,7 @@ object ALS { * @param rank number of features to use * @param iterations number of iterations of ALS (recommended: 10-20) * @param lambda regularization factor (recommended: 0.01) + * @param alpha confidence parameter */ def trainImplicit(ratings: RDD[Rating], rank: Int, iterations: Int, lambda: Double, alpha: Double) : MatrixFactorizationModel = { --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
