diff options
Diffstat (limited to 'mllib')
| -rw-r--r-- | mllib/src/main/scala/org/apache/spark/mllib/recommendation/ALS.scala | 16 |
1 files changed, 8 insertions, 8 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 76b1bc13b4..14288221b6 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 @@ -301,7 +301,7 @@ object ALS { * level of parallelism. * * @param ratings RDD of [[Rating]] objects with userID, productID, and rating - * @param rank number of features to use + * @param rank number of features to use (also referred to as the number of latent factors) * @param iterations number of iterations of ALS * @param lambda regularization parameter * @param blocks level of parallelism to split computation into @@ -326,7 +326,7 @@ object ALS { * level of parallelism. * * @param ratings RDD of [[Rating]] objects with userID, productID, and rating - * @param rank number of features to use + * @param rank number of features to use (also referred to as the number of latent factors) * @param iterations number of iterations of ALS * @param lambda regularization parameter * @param blocks level of parallelism to split computation into @@ -349,7 +349,7 @@ object ALS { * parallelism automatically based on the number of partitions in `ratings`. * * @param ratings RDD of [[Rating]] objects with userID, productID, and rating - * @param rank number of features to use + * @param rank number of features to use (also referred to as the number of latent factors) * @param iterations number of iterations of ALS * @param lambda regularization parameter */ @@ -366,7 +366,7 @@ object ALS { * parallelism automatically based on the number of partitions in `ratings`. * * @param ratings RDD of [[Rating]] objects with userID, productID, and rating - * @param rank number of features to use + * @param rank number of features to use (also referred to as the number of latent factors) * @param iterations number of iterations of ALS */ @Since("0.8.0") @@ -383,7 +383,7 @@ object ALS { * a level of parallelism given by `blocks`. * * @param ratings RDD of (userID, productID, rating) pairs - * @param rank number of features to use + * @param rank number of features to use (also referred to as the number of latent factors) * @param iterations number of iterations of ALS * @param lambda regularization parameter * @param blocks level of parallelism to split computation into @@ -410,7 +410,7 @@ object ALS { * iteratively with a configurable level of parallelism. * * @param ratings RDD of [[Rating]] objects with userID, productID, and rating - * @param rank number of features to use + * @param rank number of features to use (also referred to as the number of latent factors) * @param iterations number of iterations of ALS * @param lambda regularization parameter * @param blocks level of parallelism to split computation into @@ -436,7 +436,7 @@ object ALS { * partitions in `ratings`. * * @param ratings RDD of [[Rating]] objects with userID, productID, and rating - * @param rank number of features to use + * @param rank number of features to use (also referred to as the number of latent factors) * @param iterations number of iterations of ALS * @param lambda regularization parameter * @param alpha confidence parameter @@ -455,7 +455,7 @@ object ALS { * partitions in `ratings`. * * @param ratings RDD of [[Rating]] objects with userID, productID, and rating - * @param rank number of features to use + * @param rank number of features to use (also referred to as the number of latent factors) * @param iterations number of iterations of ALS */ @Since("0.8.1") |