srowen closed pull request #20759: Added description of checkpointInterval 
parameter
URL: https://github.com/apache/spark/pull/20759
 
 
   

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diff --git a/docs/ml-collaborative-filtering.md 
b/docs/ml-collaborative-filtering.md
index 58f2d4b531e70..ea74acf661f4f 100644
--- a/docs/ml-collaborative-filtering.md
+++ b/docs/ml-collaborative-filtering.md
@@ -19,6 +19,7 @@ by a small set of latent factors that can be used to predict 
missing entries.
 algorithm to learn these latent factors. The implementation in `spark.ml` has 
the
 following parameters:
 
+* *checkpointInterval* helps with recovery when nodes fail and StackOverflow 
exceptions caused by long lineage. **Will be silently ignored if 
*SparkContext.CheckpointDir* is not set.** (defaults to 10).
 * *numBlocks* is the number of blocks the users and items will be partitioned 
into in order to parallelize computation (defaults to 10).
 * *rank* is the number of latent factors in the model (defaults to 10).
 * *maxIter* is the maximum number of iterations to run (defaults to 10).


 

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