From a000b5c3b0438c17e9973df4832c320210c29c27 Mon Sep 17 00:00:00 2001 From: Sandeep Date: Tue, 6 May 2014 17:27:52 -0700 Subject: SPARK-1637: Clean up examples for 1.0 - [x] Move all of them into subpackages of org.apache.spark.examples (right now some are in org.apache.spark.streaming.examples, for instance, and others are in org.apache.spark.examples.mllib) - [x] Move Python examples into examples/src/main/python - [x] Update docs to reflect these changes Author: Sandeep This patch had conflicts when merged, resolved by Committer: Matei Zaharia Closes #571 from techaddict/SPARK-1637 and squashes the following commits: 47ef86c [Sandeep] Changes based on Discussions on PR, removing use of RawTextHelper from examples 8ed2d3f [Sandeep] Docs Updated for changes, Change for java examples 5f96121 [Sandeep] Move Python examples into examples/src/main/python 0a8dd77 [Sandeep] Move all Scala Examples to org.apache.spark.examples (some are in org.apache.spark.streaming.examples, for instance, and others are in org.apache.spark.examples.mllib) --- examples/src/main/python/mllib/kmeans.py | 44 +++++++++++++++++++ .../src/main/python/mllib/logistic_regression.py | 50 ++++++++++++++++++++++ 2 files changed, 94 insertions(+) create mode 100755 examples/src/main/python/mllib/kmeans.py create mode 100755 examples/src/main/python/mllib/logistic_regression.py (limited to 'examples/src/main/python/mllib') diff --git a/examples/src/main/python/mllib/kmeans.py b/examples/src/main/python/mllib/kmeans.py new file mode 100755 index 0000000000..dec82ff34f --- /dev/null +++ b/examples/src/main/python/mllib/kmeans.py @@ -0,0 +1,44 @@ +# +# 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. +# + +""" +A K-means clustering program using MLlib. + +This example requires NumPy (http://www.numpy.org/). +""" + +import sys + +import numpy as np +from pyspark import SparkContext +from pyspark.mllib.clustering import KMeans + + +def parseVector(line): + return np.array([float(x) for x in line.split(' ')]) + + +if __name__ == "__main__": + if len(sys.argv) < 4: + print >> sys.stderr, "Usage: kmeans " + exit(-1) + sc = SparkContext(sys.argv[1], "KMeans") + lines = sc.textFile(sys.argv[2]) + data = lines.map(parseVector) + k = int(sys.argv[3]) + model = KMeans.train(data, k) + print "Final centers: " + str(model.clusterCenters) diff --git a/examples/src/main/python/mllib/logistic_regression.py b/examples/src/main/python/mllib/logistic_regression.py new file mode 100755 index 0000000000..8631051d00 --- /dev/null +++ b/examples/src/main/python/mllib/logistic_regression.py @@ -0,0 +1,50 @@ +# +# 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. +# + +""" +Logistic regression using MLlib. + +This example requires NumPy (http://www.numpy.org/). +""" + +from math import exp +import sys + +import numpy as np +from pyspark import SparkContext +from pyspark.mllib.regression import LabeledPoint +from pyspark.mllib.classification import LogisticRegressionWithSGD + + +# Parse a line of text into an MLlib LabeledPoint object +def parsePoint(line): + values = [float(s) for s in line.split(' ')] + if values[0] == -1: # Convert -1 labels to 0 for MLlib + values[0] = 0 + return LabeledPoint(values[0], values[1:]) + + +if __name__ == "__main__": + if len(sys.argv) != 4: + print >> sys.stderr, "Usage: logistic_regression " + exit(-1) + sc = SparkContext(sys.argv[1], "PythonLR") + points = sc.textFile(sys.argv[2]).map(parsePoint) + iterations = int(sys.argv[3]) + model = LogisticRegressionWithSGD.train(points, iterations) + print "Final weights: " + str(model.weights) + print "Final intercept: " + str(model.intercept) -- cgit v1.2.3