Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/7263#discussion_r36046874
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/feature/Word2VecSuite.scala ---
@@ -67,5 +67,67 @@ class Word2VecSuite extends SparkFunSuite with
MLlibTestSparkContext {
assert(vector1 ~== vector2 absTol 1E-5, "Transformed vector is
different with expected.")
}
}
+
+ test("getVectors") {
+
+ val sqlContext = new SQLContext(sc)
+ import sqlContext.implicits._
+
+ val sentence = "a b " * 100 + "a c " * 10
+ val doc = sc.parallelize(Seq(sentence, sentence)).map(line =>
line.split(" "))
+
+ val codes = Map(
+ "a" -> Array(-0.2811822295188904, -0.6356269121170044,
-0.3020961284637451),
+ "b" -> Array(1.0309048891067505, -1.29472815990448,
0.22276712954044342),
+ "c" -> Array(-0.08456747233867645, 0.5137411952018738,
0.11731560528278351)
+ )
+ val expectedVectors = codes.toSeq.sortBy(_._1).map { case (w, v) =>
Vectors.dense(v) }
+
+ val docDF = doc.zip(doc).toDF("text", "alsotext")
+
+ val model = new Word2Vec()
+ .setVectorSize(3)
+ .setInputCol("text")
+ .setOutputCol("result")
+ .setSeed(42L)
+ .fit(docDF)
+
+ val realVectors = model.getVectors.sort("word").select("vector").map {
+ case Row(v: Vector) => v
+ }.collect()
+
+ realVectors.zip(expectedVectors).foreach {
+ case (real, expected) =>
+ assert(real ~== expected absTol 1E-5, "Actual vector is different
from expected.")
+ }
+ }
+
+ test("findSynonyms") {
+
+ val sqlContext = new SQLContext(sc)
+ import sqlContext.implicits._
+
+ val sentence = "a b " * 100 + "a c " * 10
+ val doc = sc.parallelize(Seq(sentence, sentence)).map(line =>
line.split(" "))
+ val docDF = doc.zip(doc).toDF("text", "alsotext")
+
+ val model = new Word2Vec()
+ .setVectorSize(3)
+ .setInputCol("text")
+ .setOutputCol("result")
+ .setSeed(42L)
+ .fit(docDF)
+
+ val expectedSimilarity = Array(0.2789285076917586, -0.6336972059851644)
--- End diff --
How were these computed?
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