diff options
| author | Felix Maximilian Möller <felixmaximilian.moeller@immobilienscout24.de> | 2014-11-18 10:08:24 -0800 |
|---|---|---|
| committer | Xiangrui Meng <meng@databricks.com> | 2014-11-18 10:09:59 -0800 |
| commit | 4f0477d6f94c85c4777a2f5d587faa539780cded (patch) | |
| tree | dc176f16328e9826dbe74eb3cc2670a054eaacb9 | |
| parent | 2d3a5a50446483a75496866fa3e5d037e9be2ee7 (diff) | |
| download | spark-4f0477d6f94c85c4777a2f5d587faa539780cded.tar.gz spark-4f0477d6f94c85c4777a2f5d587faa539780cded.tar.bz2 spark-4f0477d6f94c85c4777a2f5d587faa539780cded.zip | |
ALS implicit: added missing parameter alpha in doc string
Author: Felix Maximilian Möller <felixmaximilian.moeller@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.
(cherry picked from commit cedc3b5aa43a16e2da62f12a36317f00aa1002cc)
Signed-off-by: Xiangrui Meng <meng@databricks.com>
| -rw-r--r-- | mllib/src/main/scala/org/apache/spark/mllib/recommendation/ALS.scala | 5 |
1 files changed, 3 insertions, 2 deletions
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 038edc3521..90ac252226 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 = { |