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author | Joseph K. Bradley <joseph@databricks.com> | 2015-02-27 13:00:36 -0800 |
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committer | Xiangrui Meng <meng@databricks.com> | 2015-02-27 13:00:36 -0800 |
commit | d17cb2ba33b363dd346ac5a5681e1757decd0f4d (patch) | |
tree | b6bb3c0062df0d18e3121fcb12fc317627c52b72 /docs/mllib-collaborative-filtering.md | |
parent | 57566d0af3008982a1e24a763ed2f6a700b40f8f (diff) | |
download | spark-d17cb2ba33b363dd346ac5a5681e1757decd0f4d.tar.gz spark-d17cb2ba33b363dd346ac5a5681e1757decd0f4d.tar.bz2 spark-d17cb2ba33b363dd346ac5a5681e1757decd0f4d.zip |
[SPARK-4587] [mllib] [docs] Fixed save,load calls in ML guide examples
Should pass spark context to save/load
CC: mengxr
Author: Joseph K. Bradley <joseph@databricks.com>
Closes #4816 from jkbradley/ml-io-doc-fix and squashes the following commits:
83d369d [Joseph K. Bradley] added comment to save,load parts of ML guide examples
2841170 [Joseph K. Bradley] Fixed save,load calls in ML guide examples
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 %} |