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author | Yuhao Yang <hhbyyh@gmail.com> | 2015-05-31 11:51:49 -0700 |
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committer | Joseph K. Bradley <joseph@databricks.com> | 2015-05-31 11:51:49 -0700 |
commit | 0674700303da3e4737d73f5fabd2a925ec712f63 (patch) | |
tree | accc878afed083e7603a6ff11ad7f5be71e45555 /docs/mllib-isotonic-regression.md | |
parent | e1067d0ad1c32c678c23d76d7653b51770795831 (diff) | |
download | spark-0674700303da3e4737d73f5fabd2a925ec712f63.tar.gz spark-0674700303da3e4737d73f5fabd2a925ec712f63.tar.bz2 spark-0674700303da3e4737d73f5fabd2a925ec712f63.zip |
[SPARK-7949] [MLLIB] [DOC] update document with some missing save/load
add save load for examples:
KMeansModel
PowerIterationClusteringModel
Word2VecModel
IsotonicRegressionModel
Author: Yuhao Yang <hhbyyh@gmail.com>
Closes #6498 from hhbyyh/docSaveLoad and squashes the following commits:
7f9f06d [Yuhao Yang] add missing imports
c604cad [Yuhao Yang] Merge remote-tracking branch 'upstream/master' into docSaveLoad
1dd77cc [Yuhao Yang] update document with some missing save/load
Diffstat (limited to 'docs/mllib-isotonic-regression.md')
-rw-r--r-- | docs/mllib-isotonic-regression.md | 10 |
1 files changed, 9 insertions, 1 deletions
diff --git a/docs/mllib-isotonic-regression.md b/docs/mllib-isotonic-regression.md index b521c2f27c..5732bc4c7e 100644 --- a/docs/mllib-isotonic-regression.md +++ b/docs/mllib-isotonic-regression.md @@ -60,7 +60,7 @@ Model is created using the training set and a mean squared error is calculated f labels and real labels in the test set. {% highlight scala %} -import org.apache.spark.mllib.regression.IsotonicRegression +import org.apache.spark.mllib.regression.{IsotonicRegression, IsotonicRegressionModel} val data = sc.textFile("data/mllib/sample_isotonic_regression_data.txt") @@ -88,6 +88,10 @@ val predictionAndLabel = test.map { point => // Calculate mean squared error between predicted and real labels. val meanSquaredError = predictionAndLabel.map{case(p, l) => math.pow((p - l), 2)}.mean() println("Mean Squared Error = " + meanSquaredError) + +// Save and load model +model.save(sc, "myModelPath") +val sameModel = IsotonicRegressionModel.load(sc, "myModelPath") {% endhighlight %} </div> @@ -150,6 +154,10 @@ Double meanSquaredError = new JavaDoubleRDD(predictionAndLabel.map( ).rdd()).mean(); System.out.println("Mean Squared Error = " + meanSquaredError); + +// Save and load model +model.save(sc.sc(), "myModelPath"); +IsotonicRegressionModel sameModel = IsotonicRegressionModel.load(sc.sc(), "myModelPath"); {% endhighlight %} </div> </div> |