Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/12200#discussion_r58754307
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/feature/CountVectorizerSuite.scala ---
@@ -183,6 +183,26 @@ class CountVectorizerSuite extends SparkFunSuite with
MLlibTestSparkContext
case Row(features: Vector, expected: Vector) =>
assert(features ~== expected absTol 1e-14)
}
+
+ // CountVectorizer test
+ val df2 = sqlContext.createDataFrame(Seq(
+ (0, split("a b c d e a b"),
+ Vectors.sparse(5, Seq((0, 1.0), (1, 1.0), (2, 1.0), (3, 1.0), (4,
1.0)))),
+ (1, split("a a a a a a"), Vectors.sparse(5, Seq((0, 1.0)))),
+ (2, split("c c"), Vectors.sparse(5, Seq((2, 1.0)))),
+ (3, split("b b b b b"), Vectors.sparse(5, Seq((1, 1.0)))))
+ ).toDF("id", "words", "expected")
+ val cv2 = new CountVectorizer()
+ .setInputCol("words")
+ .setOutputCol("features")
+ .setBinary(true)
+ .fit(df2)
+ assert(cv2.vocabulary === Array("a", "b", "c", "d", "e"))
--- End diff --
I put there to catch the possible vocabulary index change. I will remove
it.
Thanks!
Miao
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