notebook.community

Edit and run



In [1]:

    
from pyspark.mllib.feature import Word2Vec
inp = sc.textFile('./data/食譜分享.txt').map(lambda row: row.split(","))
word2vec = Word2Vec()
model = word2vec.fit(inp)



In [2]:









    Out[2]:





PythonRDD[2] at RDD at PythonRDD.scala:43



In [3]:









    Out[3]:





<pyspark.mllib.feature.Word2VecModel at 0x22450d0>



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