diff options
Diffstat (limited to 'docs/mllib-collaborative-filtering.md')
-rw-r--r-- | docs/mllib-collaborative-filtering.md | 10 |
1 files changed, 6 insertions, 4 deletions
diff --git a/docs/mllib-collaborative-filtering.md b/docs/mllib-collaborative-filtering.md index 935cd8dad3..27aa4d38b7 100644 --- a/docs/mllib-collaborative-filtering.md +++ b/docs/mllib-collaborative-filtering.md @@ -97,8 +97,9 @@ val MSE = ratesAndPreds.map { case ((user, product), (r1, r2)) => }.mean() println("Mean Squared Error = " + MSE) -model.save("myModelPath") -val sameModel = MatrixFactorizationModel.load("myModelPath") +// Save and load model +model.save(sc, "myModelPath") +val sameModel = MatrixFactorizationModel.load(sc, "myModelPath") {% endhighlight %} If the rating matrix is derived from another source of information (e.g., it is inferred from @@ -186,8 +187,9 @@ public class CollaborativeFiltering { ).rdd()).mean(); System.out.println("Mean Squared Error = " + MSE); - model.save("myModelPath"); - MatrixFactorizationModel sameModel = MatrixFactorizationModel.load("myModelPath"); + // Save and load model + model.save(sc.sc(), "myModelPath"); + MatrixFactorizationModel sameModel = MatrixFactorizationModel.load(sc.sc(), "myModelPath"); } } {% endhighlight %} |