[SPARK-8925] [MLLIB] Add @since tags to mllib.util

Went thru the history of changes the file MLUtils.scala and picked up the version that the change went in.

Author: Sudhakar Thota <sudhakarthota@yahoo.com>
Author: Sudhakar Thota <sudhakarthota@sudhakars-mbp-2.usca.ibm.com>

Closes #7436 from sthota2014/SPARK-8925_thotas.

mllib/src/main/scala/org/apache/spark/mllib/util/MLUtils.scala

@@ -64,6 +64,7 @@ object MLUtils {
    *                    feature dimensions.
    * @param minPartitions min number of partitions
    * @return labeled data stored as an RDD[LabeledPoint]
+   * @since 1.0.0
    */
   def loadLibSVMFile(
       sc: SparkContext,
@@ -113,7 +114,10 @@ object MLUtils {
   }
 
   // Convenient methods for `loadLibSVMFile`.
-
+  
+  /**
+   * @since 1.0.0
+   */
   @deprecated("use method without multiclass argument, which no longer has effect", "1.1.0")
   def loadLibSVMFile(
       sc: SparkContext,
@@ -126,6 +130,7 @@ object MLUtils {
   /**
    * Loads labeled data in the LIBSVM format into an RDD[LabeledPoint], with the default number of
    * partitions.
+   * @since 1.0.0
    */
   def loadLibSVMFile(
       sc: SparkContext,
@@ -133,6 +138,9 @@ object MLUtils {
       numFeatures: Int): RDD[LabeledPoint] =
     loadLibSVMFile(sc, path, numFeatures, sc.defaultMinPartitions)
 
+  /**
+   * @since 1.0.0
+   */
   @deprecated("use method without multiclass argument, which no longer has effect", "1.1.0")
   def loadLibSVMFile(
       sc: SparkContext,
@@ -141,6 +149,9 @@ object MLUtils {
       numFeatures: Int): RDD[LabeledPoint] =
     loadLibSVMFile(sc, path, numFeatures)
 
+  /**
+   * @since 1.0.0
+   */
   @deprecated("use method without multiclass argument, which no longer has effect", "1.1.0")
   def loadLibSVMFile(
       sc: SparkContext,
@@ -151,6 +162,7 @@ object MLUtils {
   /**
    * Loads binary labeled data in the LIBSVM format into an RDD[LabeledPoint], with number of
    * features determined automatically and the default number of partitions.
+   * @since 1.0.0
    */
   def loadLibSVMFile(sc: SparkContext, path: String): RDD[LabeledPoint] =
     loadLibSVMFile(sc, path, -1)
@@ -181,12 +193,14 @@ object MLUtils {
    * @param path file or directory path in any Hadoop-supported file system URI
    * @param minPartitions min number of partitions
    * @return vectors stored as an RDD[Vector]
+   * @since 1.1.0
    */
   def loadVectors(sc: SparkContext, path: String, minPartitions: Int): RDD[Vector] =
     sc.textFile(path, minPartitions).map(Vectors.parse)
 
   /**
    * Loads vectors saved using `RDD[Vector].saveAsTextFile` with the default number of partitions.
+   * @since 1.1.0
    */
   def loadVectors(sc: SparkContext, path: String): RDD[Vector] =
     sc.textFile(path, sc.defaultMinPartitions).map(Vectors.parse)
@@ -197,6 +211,7 @@ object MLUtils {
    * @param path file or directory path in any Hadoop-supported file system URI
    * @param minPartitions min number of partitions
    * @return labeled points stored as an RDD[LabeledPoint]
+   * @since 1.1.0
    */
   def loadLabeledPoints(sc: SparkContext, path: String, minPartitions: Int): RDD[LabeledPoint] =
     sc.textFile(path, minPartitions).map(LabeledPoint.parse)
@@ -204,6 +219,7 @@ object MLUtils {
   /**
    * Loads labeled points saved using `RDD[LabeledPoint].saveAsTextFile` with the default number of
    * partitions.
+   * @since 1.1.0
    */
   def loadLabeledPoints(sc: SparkContext, dir: String): RDD[LabeledPoint] =
     loadLabeledPoints(sc, dir, sc.defaultMinPartitions)
@@ -220,6 +236,7 @@ object MLUtils {
    *
    * @deprecated Should use [[org.apache.spark.rdd.RDD#saveAsTextFile]] for saving and
    *            [[org.apache.spark.mllib.util.MLUtils#loadLabeledPoints]] for loading.
+   * @since 1.0.0
    */
   @deprecated("Should use MLUtils.loadLabeledPoints instead.", "1.0.1")
   def loadLabeledData(sc: SparkContext, dir: String): RDD[LabeledPoint] = {
@@ -241,6 +258,7 @@ object MLUtils {
    *
    * @deprecated Should use [[org.apache.spark.rdd.RDD#saveAsTextFile]] for saving and
    *            [[org.apache.spark.mllib.util.MLUtils#loadLabeledPoints]] for loading.
+   * @since 1.0.0
    */
   @deprecated("Should use RDD[LabeledPoint].saveAsTextFile instead.", "1.0.1")
   def saveLabeledData(data: RDD[LabeledPoint], dir: String) {
@@ -253,6 +271,7 @@ object MLUtils {
    * Return a k element array of pairs of RDDs with the first element of each pair
    * containing the training data, a complement of the validation data and the second
    * element, the validation data, containing a unique 1/kth of the data. Where k=numFolds.
+   * @since 1.0.0
    */
   @Experimental
   def kFold[T: ClassTag](rdd: RDD[T], numFolds: Int, seed: Int): Array[(RDD[T], RDD[T])] = {
@@ -268,6 +287,7 @@ object MLUtils {
 
   /**
    * Returns a new vector with `1.0` (bias) appended to the input vector.
+   * @since 1.0.0
    */
   def appendBias(vector: Vector): Vector = {
     vector match {