[SPARK-8575] [SQL] Deprecate callUDF in favor of udf

Follow up of [SPARK-8356](https://issues.apache.org/jira/browse/SPARK-8356) and #6902.
Removes the unit test for the now deprecated ```callUdf```
Unit test in SQLQuerySuite now uses ```udf``` instead of ```callUDF```
Replaced ```callUDF``` by ```udf``` where possible in mllib

Author: BenFradet <benjamin.fradet@gmail.com>

Closes #6993 from BenFradet/SPARK-8575 and squashes the following commits:

26f5a7a [BenFradet] 2 spaces instead of 1
1ddb452 [BenFradet] renamed initUDF in order to be consistent in OneVsRest
48ca15e [BenFradet] used vector type tag for udf call in VectorIndexer
0ebd0da [BenFradet] replace the now deprecated callUDF by udf in VectorIndexer
8013409 [BenFradet] replaced the now deprecated callUDF by udf in Predictor
94345b5 [BenFradet] unifomized udf calls in ProbabilisticClassifier
1305492 [BenFradet] uniformized udf calls in Classifier
a672228 [BenFradet] uniformized udf calls in OneVsRest
49e4904 [BenFradet] Revert "removal of the unit test for the now deprecated callUdf"
bbdeaf3 [BenFradet] fixed syntax for init udf in OneVsRest
fe2a10b [BenFradet] callUDF => udf in ProbabilisticClassifier
0ea30b3 [BenFradet] callUDF => udf in Classifier where possible
197ec82 [BenFradet] callUDF => udf in OneVsRest
84d6780 [BenFradet] modified unit test in SQLQuerySuite to use udf instead of callUDF
477709f [BenFradet] removal of the unit test for the now deprecated callUdf

1 files changed, 2 insertions, 3 deletions

diff --git a/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
index 73bc6c9991..22c54e43c1 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
@@ -137,13 +137,12 @@ class SQLQuerySuite extends QueryTest with BeforeAndAfterAll with SQLTestUtils {
 
   test("SPARK-7158 collect and take return different results") {
     import java.util.UUID
-    import org.apache.spark.sql.types._
 
     val df = Seq(Tuple1(1), Tuple1(2), Tuple1(3)).toDF("index")
     // we except the id is materialized once
-    def id: () => String = () => { UUID.randomUUID().toString() }
+    val idUdf = udf(() => UUID.randomUUID().toString)
 
-    val dfWithId = df.withColumn("id", callUDF(id, StringType))
+    val dfWithId = df.withColumn("id", idUdf())
     // Make a new DataFrame (actually the same reference to the old one)
     val cached = dfWithId.cache()
     // Trigger the cache