[SPARK-8308] [MLLIB] add missing save load for python example

jira: https://issues.apache.org/jira/browse/SPARK-8308

1. add some missing save/load in python examples. , LogisticRegression, LinearRegression and NaiveBayes
2. tune down iterations for MatrixFactorization, since current number will trigger StackOverflow for default java configuration (>1M)

Author: Yuhao Yang <hhbyyh@gmail.com>

Closes #6760 from hhbyyh/docUpdate and squashes the following commits:

9bd3383 [Yuhao Yang] update scala example
8a44692 [Yuhao Yang] Merge remote-tracking branch 'upstream/master' into docUpdate
077cbb8 [Yuhao Yang] Merge remote-tracking branch 'upstream/master' into docUpdate
3e948dc [Yuhao Yang] add missing save load for python example

1 files changed, 5 insertions, 1 deletions

diff --git a/docs/mllib-naive-bayes.md b/docs/mllib-naive-bayes.md
index bf6d124fd5..e73bd30f3a 100644
--- a/docs/mllib-naive-bayes.md
+++ b/docs/mllib-naive-bayes.md
@@ -119,7 +119,7 @@ used for evaluation and prediction.
 Note that the Python API does not yet support model save/load but will in the future.
 
 {% highlight python %}
-from pyspark.mllib.classification import NaiveBayes
+from pyspark.mllib.classification import NaiveBayes, NaiveBayesModel
 from pyspark.mllib.linalg import Vectors
 from pyspark.mllib.regression import LabeledPoint
 
@@ -140,6 +140,10 @@ model = NaiveBayes.train(training, 1.0)
 # Make prediction and test accuracy.
 predictionAndLabel = test.map(lambda p : (model.predict(p.features), p.label))
 accuracy = 1.0 * predictionAndLabel.filter(lambda (x, v): x == v).count() / test.count()
+
+# Save and load model
+model.save(sc, "myModelPath")
+sameModel = NaiveBayesModel.load(sc, "myModelPath")
 {% endhighlight %}
 
 </div>