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Posted to commits@spark.apache.org by me...@apache.org on 2014/11/18 19:09:49 UTC
spark git commit: ALS implicit: added missing parameter alpha in doc
string
Repository: spark
Updated Branches:
refs/heads/master c6e0c2ab1 -> cedc3b5aa
ALS implicit: added missing parameter alpha in doc string
Author: Felix Maximilian Möller <fe...@immobilienscout24.de>
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 <fe...@immobilienscout24.de>
Authored: Tue Nov 18 10:08:24 2014 -0800
Committer: Xiangrui Meng <me...@databricks.com>
Committed: Tue Nov 18 10:08:24 2014 -0800
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.../main/scala/org/apache/spark/mllib/recommendation/ALS.scala | 5 +++--
1 file changed, 3 insertions(+), 2 deletions(-)
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http://git-wip-us.apache.org/repos/asf/spark/blob/cedc3b5a/mllib/src/main/scala/org/apache/spark/mllib/recommendation/ALS.scala
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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 = {
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