Github user MLnick commented on a diff in the pull request:
https://github.com/apache/spark/pull/17673#discussion_r142220283
--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Word2Vec.scala
---
@@ -106,6 +106,45 @@ private[feature] trait Word2VecBase extends Params
/** @group getParam */
def getMaxSentenceLength: Int = $(maxSentenceLength)
+ /**
+ * Number of negative samples to use with CBOW based estimation.
+ * This parameter is ignored for SkipGram based estimation.
+ * Default: 15
+ * @group param
+ */
+ final val negativeSamples = new IntParam(this, "negativeSamples",
"Number of negative samples " +
--- End diff --
In relation to #18123 I wonder if it is necessary to have 3 possible values
for `solver`? For `skipgram` if we set this param `negativeSamples` to `0` will
that give the same effect as normal skipgram?
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