Github user Krimit commented on a diff in the pull request:
https://github.com/apache/spark/pull/17673#discussion_r113598930
--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Word2Vec.scala
---
@@ -102,6 +107,24 @@ private[feature] trait Word2VecBase extends Params
"be divided into chunks up to the size (> 0)", ParamValidators.gt(0))
setDefault(maxSentenceLength -> 1000)
+ /**
+ * Choose the technique to use for generating word embeddings
+ * Default: true (Use Skip-Gram with Hierarchical softmax)
+ * @group param
+ */
+ final val skipGram = new BooleanParam(this, "skipGram", "Use Skip-Gram
model to generate word " +
+ "embeddings. When set to false, Continuous Bag of Words (CBOW) model
is used instead.")
+ setDefault(skipGram -> true)
+
+ /**
+ * Number of negative samples to use with CBOW based estimation
--- End diff --
add something to the effect that this parameter is ignored for ``skipGram``
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