[SPARK-14549][ML] Copy the Vector and Matrix classes from mllib to ml in mllib-local

## What changes were proposed in this pull request?

This task will copy the Vector and Matrix classes from mllib to ml package in mllib-local jar. The UDTs and `since` annotation in ml vector and matrix will be removed from now. UDTs will be achieved by #SPARK-14487, and `since` will be replaced by /*  since 1.2.0 */

The BLAS implementation will be copied, and some of the test utilities will be copies as well.

Summary of changes:

1. In mllib-local/src/main/scala/org/apache/spark/**ml**/linalg/BLAS.scala
  - Copied from mllib/src/main/scala/org/apache/spark/**mllib**/linalg/BLAS.scala
  - logDebug("gemm: alpha is equal to 0 and beta is equal to 1. Returning C.") is removed in ml version.
2. In  mllib-local/src/main/scala/org/apache/spark/**ml**/linalg/Matrices.scala
  - Copied from mllib/src/main/scala/org/apache/spark/**mllib**/linalg/Matrices.scala
  - `Since` was removed, and we'll use standard `/* Since /*` Java doc. Will be in another PR.
  - `UDT` related code was removed, and will use `SPARK-13944` https://github.com/apache/spark/pull/12259  to replace the annotation.
3. In mllib-local/src/main/scala/org/apache/spark/**ml**/linalg/Vectors.scala
  - Copied from mllib/src/main/scala/org/apache/spark/**mllib**/linalg/Vectors.scala
  - `Since` was removed.
  - `UDT` related code was removed.
  - In `def parseNumeric`, it was throwing `throw new SparkException(s"Cannot parse $other.")`, and now it's throwing `throw new IllegalArgumentException(s"Cannot parse $other.")`
4. In mllib/src/main/scala/org/apache/spark/**mllib**/linalg/Vectors.scala
  - For consistency with ML version of vector, `def parseNumeric` is now throwing `throw new IllegalArgumentException(s"Cannot parse $other.")`
5. mllib/src/main/scala/org/apache/spark/**mllib**/util/NumericParser.scala is moved to mllib-local/src/main/scala/org/apache/spark/**ml**/util/NumericParser.scala
  - All the `throw new SparkException` were replaced by `throw new IllegalArgumentException`

## How was this patch tested?

unit tests

Author: DB Tsai <dbt@netflix.com>

Closes #12317 from dbtsai/dbtsai-ml-vector.

1 files changed, 2 insertions, 2 deletions

diff --git a/mllib/src/test/scala/org/apache/spark/mllib/util/MLUtilsSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/util/MLUtilsSuite.scala
index e542f21a18..0c6aabf192 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/util/MLUtilsSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/util/MLUtilsSuite.scala
@@ -182,8 +182,8 @@ class MLUtilsSuite extends SparkFunSuite with MLlibTestSparkContext {
     for (folds <- 2 to 10) {
       for (seed <- 1 to 5) {
         val foldedRdds = kFold(data, folds, seed)
-        assert(foldedRdds.size === folds)
-        foldedRdds.map { case (training, validation) =>
+        assert(foldedRdds.length === folds)
+        foldedRdds.foreach { case (training, validation) =>
           val result = validation.union(training).collect().sorted
           val validationSize = validation.collect().size.toFloat
           assert(validationSize > 0, "empty validation data")