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authorchristopher snow <chsnow123@gmail.com>2017-03-21 13:23:59 +0000
committerSean Owen <sowen@cloudera.com>2017-03-21 13:23:59 +0000
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[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.
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diff --git a/docs/mllib-collaborative-filtering.md b/docs/mllib-collaborative-filtering.md
index 0f891a09a6..d1bb6d69f1 100644
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@@ -20,7 +20,7 @@ algorithm to learn these latent factors. The implementation in `spark.mllib` has
following parameters:
* *numBlocks* is the number of blocks used to parallelize computation (set to -1 to auto-configure).
-* *rank* is the number of latent factors in the model.
+* *rank* is the number of features to use (also referred to as the number of latent factors).
* *iterations* is the number of iterations of ALS to run. ALS typically converges to a reasonable
solution in 20 iterations or less.
* *lambda* specifies the regularization parameter in ALS.