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+#
+# 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.
+#
+
+"""
+Randomly generated RDDs.
+"""
+
+import sys
+
+from pyspark import SparkContext
+from pyspark.mllib.random import RandomRDDs
+
+
+if __name__ == "__main__":
+ if len(sys.argv) not in [1, 2]:
+ print >> sys.stderr, "Usage: random_rdd_generation"
+ exit(-1)
+
+ sc = SparkContext(appName="PythonRandomRDDGeneration")
+
+ numExamples = 10000 # number of examples to generate
+ fraction = 0.1 # fraction of data to sample
+
+ # Example: RandomRDDs.normalRDD
+ normalRDD = RandomRDDs.normalRDD(sc, numExamples)
+ print 'Generated RDD of %d examples sampled from the standard normal distribution'\
+ % normalRDD.count()
+ print ' First 5 samples:'
+ for sample in normalRDD.take(5):
+ print ' ' + str(sample)
+ print
+
+ # Example: RandomRDDs.normalVectorRDD
+ normalVectorRDD = RandomRDDs.normalVectorRDD(sc, numRows = numExamples, numCols = 2)
+ print 'Generated RDD of %d examples of length-2 vectors.' % normalVectorRDD.count()
+ print ' First 5 samples:'
+ for sample in normalVectorRDD.take(5):
+ print ' ' + str(sample)
+ print
+
+ sc.stop()