Github user yinxusen commented on a diff in the pull request:
https://github.com/apache/spark/pull/11142#discussion_r53559520
--- Diff: docs/mllib-feature-extraction.md ---
@@ -192,47 +119,12 @@ Here we assume the extracted file is `text8` and in
same directory as you run th
<div data-lang="scala" markdown="1">
Refer to the [`Word2Vec` Scala
docs](api/scala/index.html#org.apache.spark.mllib.feature.Word2Vec) for details
on the API.
-{% highlight scala %}
-import org.apache.spark._
-import org.apache.spark.rdd._
-import org.apache.spark.SparkContext._
-import org.apache.spark.mllib.feature.{Word2Vec, Word2VecModel}
-
-val input = sc.textFile("text8").map(line => line.split(" ").toSeq)
-
-val word2vec = new Word2Vec()
-
-val model = word2vec.fit(input)
-
-val synonyms = model.findSynonyms("china", 40)
-
-for((synonym, cosineSimilarity) <- synonyms) {
- println(s"$synonym $cosineSimilarity")
-}
-
-// Save and load model
-model.save(sc, "myModelPath")
-val sameModel = Word2VecModel.load(sc, "myModelPath")
-{% endhighlight %}
+{% include_example
scala/org/apache/spark/examples/mllib/Word2VecExample.scala %}
</div>
<div data-lang="python" markdown="1">
Refer to the [`Word2Vec` Python
docs](api/python/pyspark.mllib.html#pyspark.mllib.feature.Word2Vec) for more
details on the API.
-{% highlight python %}
-from pyspark import SparkContext
-from pyspark.mllib.feature import Word2Vec
-
-sc = SparkContext(appName='Word2Vec')
-inp = sc.textFile("text8_lines").map(lambda row: row.split(" "))
-
-word2vec = Word2Vec()
-model = word2vec.fit(inp)
-
-synonyms = model.findSynonyms('china', 40)
-
-for word, cosine_distance in synonyms:
- print("{}: {}".format(word, cosine_distance))
-{% endhighlight %}
+{% include_example python/mllib/word_2_vec_example.py %}
--- End diff --
change the filename according to the python file after you changing the
python example name.
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