python/mllib/word2vec_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 __future__ import print_function
0019
0020 from pyspark import SparkContext
0021 # $example on$
0022 from pyspark.mllib.feature import Word2Vec
0023 # $example off$
0024
0025 if __name__ == "__main__":
0026     sc = SparkContext(appName="Word2VecExample")  # SparkContext
0027
0028     # $example on$
0029     inp = sc.textFile("data/mllib/sample_lda_data.txt").map(lambda row: row.split(" "))
0030
0031     word2vec = Word2Vec()
0032     model = word2vec.fit(inp)
0033
0034     synonyms = model.findSynonyms('1', 5)
0035
0036     for word, cosine_distance in synonyms:
0037         print("{}: {}".format(word, cosine_distance))
0038     # $example off$
0039
0040     sc.stop()