Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/5467#discussion_r29032368
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/feature/Word2Vec.scala ---
@@ -479,9 +508,23 @@ class Word2VecModel private[mllib] (
*/
def findSynonyms(vector: Vector, num: Int): Array[(String, Double)] = {
require(num > 0, "Number of similar words should > 0")
- // TODO: optimize top-k
+
val fVector = vector.toArray.map(_.toFloat)
- model.mapValues(vec => cosineSimilarity(fVector, vec))
+ val cosineVec = Array.fill[Float](numWords)(0)
+ val alpha: Float = 1
+ val beta: Float = 0
+
+ blas.sgemv(
+ "T", vectorSize, numWords, alpha, wordVectors, vectorSize, fVector,
1, beta, cosineVec, 1)
+
+ // Need not divide with the norm of the given vector since it is
constant.
+ val updatedCosines = new Array[Double](numWords)
--- End diff --
Should reuse `cosineVec`.
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