Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/2356#discussion_r18486706
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/api/python/PythonMLLibAPI.scala ---
@@ -284,6 +285,58 @@ class PythonMLLibAPI extends Serializable {
}
/**
+ * Java stub for Python mllib Word2Vec fit(). This stub returns a
+ * handle to the Java object instead of the content of the Java object.
+ * Extra care needs to be taken in the Python code to ensure it gets
freed on
+ * exit; see the Py4J documentation.
+ * @param dataJRDD input JavaRDD
+ * @param vectorSize size of vector
+ * @param learningRate initial learning rate
+ * @param numPartitions number of partitions
+ * @param numIterations number of iterations
+ * @param seed initial seed for random generator
+ * @return A handle to java Word2VecModelWrapper instance at python side
+ */
+ def trainWord2Vec(
+ dataJRDD: JavaRDD[java.util.ArrayList[String]],
+ vectorSize: Int,
+ learningRate: Double,
+ numPartitions: Int,
+ numIterations: Int,
+ seed: Long): Word2VecModelWrapper = {
+ val data = dataJRDD.rdd.cache()
+ val word2vec = new Word2Vec()
+ .setVectorSize(vectorSize)
+ .setLearningRate(learningRate)
+ .setNumPartitions(numPartitions)
+ .setNumIterations(numIterations)
+ .setSeed(seed)
+ val model = word2vec.fit(data)
+ new Word2VecModelWrapper(model)
--- End diff --
unpersist `data` after training explicitly because the user won't have
access to it.
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