python/mllib/svm_with_sgd_example.py

0001 #
0002 # Licensed to the Apache Software Foundation (ASF) under one or more
0003 # contributor license agreements.  See the NOTICE file distributed with
0004 # this work for additional information regarding copyright ownership.
0005 # The ASF licenses this file to You under the Apache License, Version 2.0
0006 # (the "License"); you may not use this file except in compliance with
0007 # the License.  You may obtain a copy of the License at
0008 #
0009 #    http://www.apache.org/licenses/LICENSE-2.0
0010 #
0011 # Unless required by applicable law or agreed to in writing, software
0012 # distributed under the License is distributed on an "AS IS" BASIS,
0013 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
0014 # See the License for the specific language governing permissions and
0015 # limitations under the License.
0016 #
0017
0018 from pyspark import SparkContext
0019 # $example on$
0020 from pyspark.mllib.classification import SVMWithSGD, SVMModel
0021 from pyspark.mllib.regression import LabeledPoint
0022 # $example off$
0023
0024 if __name__ == "__main__":
0025     sc = SparkContext(appName="PythonSVMWithSGDExample")
0026
0027     # $example on$
0028     # Load and parse the data
0029     def parsePoint(line):
0030         values = [float(x) for x in line.split(' ')]
0031         return LabeledPoint(values[0], values[1:])
0032
0033     data = sc.textFile("data/mllib/sample_svm_data.txt")
0034     parsedData = data.map(parsePoint)
0035
0036     # Build the model
0037     model = SVMWithSGD.train(parsedData, iterations=100)
0038
0039     # Evaluating the model on training data
0040     labelsAndPreds = parsedData.map(lambda p: (p.label, model.predict(p.features)))
0041     trainErr = labelsAndPreds.filter(lambda lp: lp[0] != lp[1]).count() / float(parsedData.count())
0042     print("Training Error = " + str(trainErr))
0043
0044     # Save and load model
0045     model.save(sc, "target/tmp/pythonSVMWithSGDModel")
0046     sameModel = SVMModel.load(sc, "target/tmp/pythonSVMWithSGDModel")
0047     # $example off$