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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 # This example uses text8 file from http://mattmahoney.net/dc/text8.zip 0019 # The file was downloaded, unzipped and split into multiple lines using 0020 # 0021 # wget http://mattmahoney.net/dc/text8.zip 0022 # unzip text8.zip 0023 # grep -o -E '\w+(\W+\w+){0,15}' text8 > text8_lines 0024 # This was done so that the example can be run in local mode 0025 0026 from __future__ import print_function 0027 0028 import sys 0029 0030 from pyspark import SparkContext 0031 from pyspark.mllib.feature import Word2Vec 0032 0033 USAGE = ("bin/spark-submit --driver-memory 4g " 0034 "examples/src/main/python/mllib/word2vec.py text8_lines") 0035 0036 if __name__ == "__main__": 0037 if len(sys.argv) < 2: 0038 print(USAGE) 0039 sys.exit("Argument for file not provided") 0040 file_path = sys.argv[1] 0041 sc = SparkContext(appName='Word2Vec') 0042 inp = sc.textFile(file_path).map(lambda row: row.split(" ")) 0043 0044 word2vec = Word2Vec() 0045 model = word2vec.fit(inp) 0046 0047 synonyms = model.findSynonyms('china', 40) 0048 0049 for word, cosine_distance in synonyms: 0050 print("{}: {}".format(word, cosine_distance)) 0051 sc.stop()
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