Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/6452#discussion_r31271309
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/feature/VectorAssemblerSuite.scala ---
@@ -61,4 +63,39 @@ class VectorAssemblerSuite extends FunSuite with
MLlibTestSparkContext {
assert(v === Vectors.sparse(6, Array(1, 2, 4, 5), Array(1.0, 2.0,
3.0, 10.0)))
}
}
+
+ test("ML attributes") {
+ val browser = NominalAttribute.defaultAttr.withValues("chrome",
"firefox", "safari")
+ val hour = NumericAttribute.defaultAttr.withMin(0.0).withMax(24.0)
+ val user = new AttributeGroup("user", Array(
+ NominalAttribute.defaultAttr.withName("gender").withValues("male",
"female"),
+ NumericAttribute.defaultAttr.withName("salary")))
+ val row = (1.0, 0.5, 1, Vectors.dense(1.0, 1000.0), Vectors.sparse(2,
Array(1), Array(2.0)))
+ val df= sqlContext.createDataFrame(Seq(row)).toDF("browser", "hour",
"count", "user", "ad")
--- End diff --
space: ```df =```
Should this include a Vector column with numAttributes specified?
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