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authorHolden Karau <holden@us.ibm.com>2016-05-09 09:11:17 +0100
committerSean Owen <sowen@cloudera.com>2016-05-09 09:11:17 +0100
commit12fe2ecd1998a8b01667aa1ab910a604b2aec4c8 (patch)
tree39813ff79a12b15e95541e6b68077704eadbbd8f /python/pyspark/ml/recommendation.py
parent68abc1b4e9afbb6c2a87689221a46b835dded102 (diff)
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[SPARK-15136][PYSPARK][DOC] Fix links to sphinx style and add a default param doc note
## What changes were proposed in this pull request? PyDoc links in ml are in non-standard format. Switch to standard sphinx link format for better formatted documentation. Also add a note about default value in one place. Copy some extended docs from scala for GBT ## How was this patch tested? Built docs locally. Author: Holden Karau <holden@us.ibm.com> Closes #12918 from holdenk/SPARK-15137-linkify-pyspark-ml-classification.
Diffstat (limited to 'python/pyspark/ml/recommendation.py')
-rw-r--r--python/pyspark/ml/recommendation.py4
1 files changed, 2 insertions, 2 deletions
diff --git a/python/pyspark/ml/recommendation.py b/python/pyspark/ml/recommendation.py
index db02684262..d7cb658465 100644
--- a/python/pyspark/ml/recommendation.py
+++ b/python/pyspark/ml/recommendation.py
@@ -54,8 +54,8 @@ class ALS(JavaEstimator, HasCheckpointInterval, HasMaxIter, HasPredictionCol, Ha
and update the products based on these messages.
For implicit preference data, the algorithm used is based on
- "Collaborative Filtering for Implicit Feedback Datasets", available
- at `http://dx.doi.org/10.1109/ICDM.2008.22`, adapted for the blocked
+ `"Collaborative Filtering for Implicit Feedback Datasets",
+ <http://dx.doi.org/10.1109/ICDM.2008.22>`_, adapted for the blocked
approach used here.
Essentially instead of finding the low-rank approximations to the