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-rw-r--r--docs/mllib-collaborative-filtering.md6
1 files changed, 3 insertions, 3 deletions
diff --git a/docs/mllib-collaborative-filtering.md b/docs/mllib-collaborative-filtering.md
index dfdf6216b2..eedc23424a 100644
--- a/docs/mllib-collaborative-filtering.md
+++ b/docs/mllib-collaborative-filtering.md
@@ -77,7 +77,7 @@ val ratings = data.map(_.split(',') match { case Array(user, item, rate) =>
// Build the recommendation model using ALS
val rank = 10
-val numIterations = 20
+val numIterations = 10
val model = ALS.train(ratings, rank, numIterations, 0.01)
// Evaluate the model on rating data
@@ -149,7 +149,7 @@ public class CollaborativeFiltering {
// Build the recommendation model using ALS
int rank = 10;
- int numIterations = 20;
+ int numIterations = 10;
MatrixFactorizationModel model = ALS.train(JavaRDD.toRDD(ratings), rank, numIterations, 0.01);
// Evaluate the model on rating data
@@ -210,7 +210,7 @@ ratings = data.map(lambda l: l.split(',')).map(lambda l: Rating(int(l[0]), int(l
# Build the recommendation model using Alternating Least Squares
rank = 10
-numIterations = 20
+numIterations = 10
model = ALS.train(ratings, rank, numIterations)
# Evaluate the model on training data