Github user BryanCutler commented on a diff in the pull request:
https://github.com/apache/spark/pull/12200#discussion_r58744168
--- 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 --
I think @MLnick mentioned this, but you could just use the same DataFrame
as above, no need to make a second one
---
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 [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
