Github user MLnick commented on a diff in the pull request: https://github.com/apache/spark/pull/10152#discussion_r52590418 --- Diff: mllib/src/main/scala/org/apache/spark/mllib/feature/Word2Vec.scala --- @@ -76,6 +76,18 @@ class Word2Vec extends Serializable with Logging { private var numIterations = 1 private var seed = Utils.random.nextLong() private var minCount = 5 + private var maxSentenceLength = 1000 + + /** + * Sets the maximum length of each sentence in the input data. + * Any sentence longer than this threshold will be divided into chunks of + * up to `maxSentenceLength` size (default: 1000) + */ + @Since("2.0.0") + def setMaxSentenceLength(maxSentenceLength: Int): this.type = { --- End diff -- The param name comes from the original Google implementation. Either option (or both) works, but I guess I'd be marginally more in favour of amending the first line of doc to read `... maximum length (in words) of each ...`, or something similar.
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