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author | Rishabh Bhardwaj <rbnext29@gmail.com> | 2015-11-09 14:27:36 -0800 |
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committer | Xiangrui Meng <meng@databricks.com> | 2015-11-09 14:27:36 -0800 |
commit | b7720fa45525cff6e812fa448d0841cb41f6c8a5 (patch) | |
tree | 934518fb170c41dcd2d6225f75dd0bb001476448 /examples/src/main/python/mllib | |
parent | 51d41e4b1a3a25a3fde3a4345afcfe4766023d23 (diff) | |
download | spark-b7720fa45525cff6e812fa448d0841cb41f6c8a5.tar.gz spark-b7720fa45525cff6e812fa448d0841cb41f6c8a5.tar.bz2 spark-b7720fa45525cff6e812fa448d0841cb41f6c8a5.zip |
[SPARK-11548][DOCS] Replaced example code in mllib-collaborative-filtering.md using include_example
Kindly review the changes.
Author: Rishabh Bhardwaj <rbnext29@gmail.com>
Closes #9519 from rishabhbhardwaj/SPARK-11337.
Diffstat (limited to 'examples/src/main/python/mllib')
-rw-r--r-- | examples/src/main/python/mllib/recommendation_example.py | 54 |
1 files changed, 54 insertions, 0 deletions
diff --git a/examples/src/main/python/mllib/recommendation_example.py b/examples/src/main/python/mllib/recommendation_example.py new file mode 100644 index 0000000000..615db0749b --- /dev/null +++ b/examples/src/main/python/mllib/recommendation_example.py @@ -0,0 +1,54 @@ +# +# Licensed to the Apache Software Foundation (ASF) under one or more +# contributor license agreements. See the NOTICE file distributed with +# this work for additional information regarding copyright ownership. +# The ASF licenses this file to You under the Apache License, Version 2.0 +# (the "License"); you may not use this file except in compliance with +# the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +""" +Collaborative Filtering Classification Example. +""" +from __future__ import print_function + +import sys + +from pyspark import SparkContext + +# $example on$ +from pyspark.mllib.recommendation import ALS, MatrixFactorizationModel, Rating +# $example off$ + +if __name__ == "__main__": + sc = SparkContext(appName="PythonCollaborativeFilteringExample") + # $example on$ + # Load and parse the data + data = sc.textFile("data/mllib/als/test.data") + ratings = data.map(lambda l: l.split(','))\ + .map(lambda l: Rating(int(l[0]), int(l[1]), float(l[2]))) + + # Build the recommendation model using Alternating Least Squares + rank = 10 + numIterations = 10 + model = ALS.train(ratings, rank, numIterations) + + # Evaluate the model on training data + testdata = ratings.map(lambda p: (p[0], p[1])) + predictions = model.predictAll(testdata).map(lambda r: ((r[0], r[1]), r[2])) + ratesAndPreds = ratings.map(lambda r: ((r[0], r[1]), r[2])).join(predictions) + MSE = ratesAndPreds.map(lambda r: (r[1][0] - r[1][1])**2).mean() + print("Mean Squared Error = " + str(MSE)) + + # Save and load model + model.save(sc, "target/tmp/myCollaborativeFilter") + sameModel = MatrixFactorizationModel.load(sc, "target/tmp/myCollaborativeFilter") + # $example off$ |