srowen commented on a change in pull request #30548:
URL: https://github.com/apache/spark/pull/30548#discussion_r534627476
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File path: mllib/src/main/scala/org/apache/spark/mllib/feature/Word2Vec.scala
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@@ -502,19 +502,19 @@ class Word2VecModel private[spark] (
private val vectorSize = wordVectors.length / numWords
// wordList: Ordered list of words obtained from wordIndex.
- private val wordList: Array[String] = {
- val (wl, _) = wordIndex.toSeq.sortBy(_._2).unzip
- wl.toArray
+ private lazy val wordList: Array[String] = {
+ wordIndex.toSeq.sortBy(_._2).iterator.map(_._1).toArray
}
// wordVecNorms: Array of length numWords, each value being the Euclidean
norm
// of the wordVector.
- private val wordVecNorms: Array[Float] = {
- val wordVecNorms = new Array[Float](numWords)
+ private lazy val wordVecNorms: Array[Float] = {
Review comment:
OK fair enough. There are use cases here that would never need this
calculated?
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