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| author | christopher snow <chsnow123@gmail.com> | 2017-03-21 13:23:59 +0000 |
|---|---|---|
| committer | Sean Owen <sowen@cloudera.com> | 2017-03-21 13:23:59 +0000 |
| commit | 7620aed828d8baefc425b54684a83c81f1507b02 (patch) | |
| tree | 728c706263ff571e3691c8a3569841e35f495bde /python/pyspark/mllib | |
| parent | d2dcd6792f4cea39e12945ad8c4cda5d8d034de4 (diff) | |
| download | spark-7620aed828d8baefc425b54684a83c81f1507b02.tar.gz spark-7620aed828d8baefc425b54684a83c81f1507b02.tar.bz2 spark-7620aed828d8baefc425b54684a83c81f1507b02.zip | |
[SPARK-20011][ML][DOCS] Clarify documentation for ALS 'rank' parameter
## What changes were proposed in this pull request?
API documentation and collaborative filtering documentation page changes to clarify inconsistent description of ALS rank parameter.
- [DOCS] was previously: "rank is the number of latent factors in the model."
- [API] was previously: "rank - number of features to use"
This change describes rank in both places consistently as:
- "Number of features to use (also referred to as the number of latent factors)"
Author: Chris Snow <chris.snowuk.ibm.com>
Author: christopher snow <chsnow123@gmail.com>
Closes #17345 from snowch/SPARK-20011.
Diffstat (limited to 'python/pyspark/mllib')
| -rw-r--r-- | python/pyspark/mllib/recommendation.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/python/pyspark/mllib/recommendation.py b/python/pyspark/mllib/recommendation.py index 732300ee9c..8118288135 100644 --- a/python/pyspark/mllib/recommendation.py +++ b/python/pyspark/mllib/recommendation.py @@ -249,7 +249,7 @@ class ALS(object): :param ratings: RDD of `Rating` or (userID, productID, rating) tuple. :param rank: - Rank of the feature matrices computed (number of features). + Number of features to use (also referred to as the number of latent factors). :param iterations: Number of iterations of ALS. (default: 5) @@ -287,7 +287,7 @@ class ALS(object): :param ratings: RDD of `Rating` or (userID, productID, rating) tuple. :param rank: - Rank of the feature matrices computed (number of features). + Number of features to use (also referred to as the number of latent factors). :param iterations: Number of iterations of ALS. (default: 5) |