Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/12200#discussion_r58750775
--- 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(
--- End diff --
Only add "d" does not work, because the index is not in the order of "a"
"b" "c" "d". It is "a" "c" "b" "d" order. So I increase the counts of "b" to
make it "a" "b" "c" "d".
My change should not influence the order of vocabulary after fit.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org
