update tree API annotation

Author: mengxr

mllib/src/main/scala/org/apache/spark/mllib/tree/DecisionTree.scala

@@ -1026,7 +1026,7 @@ object DecisionTree extends Serializable with Logging {
     }
   }
 
-  val usage = """
+  private val usage = """
     Usage: DecisionTreeRunner <master>[slices] --algo <Classification,
     Regression> --trainDataDir path --testDataDir path --maxDepth num [--impurity <Gini,Entropy,
     Variance>] [--maxBins num]
@@ -1115,7 +1115,7 @@ object DecisionTree extends Serializable with Logging {
    * @return An RDD of LabeledPoint. Each labeled point has two elements: the first element is
    *         the label, and the second element represents the feature values (an array of Double).
    */
-  def loadLabeledData(sc: SparkContext, dir: String): RDD[LabeledPoint] = {
+  private def loadLabeledData(sc: SparkContext, dir: String): RDD[LabeledPoint] = {
     sc.textFile(dir).map { line =>
       val parts = line.trim().split(",")
       val label = parts(0).toDouble

mllib/src/main/scala/org/apache/spark/mllib/tree/configuration/Algo.scala

@@ -18,6 +18,8 @@
 package org.apache.spark.mllib.tree.configuration
 
 /**
+ * <span class="badge" style="float: right; background-color: #257080;">EXPERIMENTAL</span>
+ *
  * Enum to select the algorithm for the decision tree
  */
 object Algo extends Enumeration {

mllib/src/main/scala/org/apache/spark/mllib/tree/configuration/FeatureType.scala

@@ -18,6 +18,8 @@
 package org.apache.spark.mllib.tree.configuration
 
 /**
+ * <span class="badge" style="float: right; background-color: #257080;">EXPERIMENTAL</span>
+ *
  * Enum to describe whether a feature is "continuous" or "categorical"
  */
 object FeatureType extends Enumeration {

mllib/src/main/scala/org/apache/spark/mllib/tree/configuration/QuantileStrategy.scala

@@ -18,6 +18,8 @@
 package org.apache.spark.mllib.tree.configuration
 
 /**
+ * <span class="badge" style="float: right; background-color: #257080;">EXPERIMENTAL</span>
+ *
  * Enum for selecting the quantile calculation strategy
  */
 object QuantileStrategy extends Enumeration {

mllib/src/main/scala/org/apache/spark/mllib/tree/configuration/Strategy.scala

@@ -22,6 +22,8 @@ import org.apache.spark.mllib.tree.configuration.Algo._
 import org.apache.spark.mllib.tree.configuration.QuantileStrategy._
 
 /**
+ * <span class="badge" style="float: right; background-color: #257080;">EXPERIMENTAL</span>
+ *
  * Stores all the configuration options for tree construction
  * @param algo classification or regression
  * @param impurity criterion used for information gain calculation

mllib/src/main/scala/org/apache/spark/mllib/tree/model/Node.scala

@@ -22,7 +22,7 @@ import org.apache.spark.mllib.tree.configuration.FeatureType._
 import org.apache.spark.mllib.linalg.Vector
 
 /**
- * <span class="badge" style="float: right; background-color: #44751E;">DEVELOPER API</span>
+ * <span class="badge badge-red" style="float: right;">DEVELOPER API</span>
  *
  * Node in a decision tree
  * @param id integer node id

mllib/src/main/scala/org/apache/spark/mllib/tree/model/Split.scala

@@ -20,6 +20,8 @@ package org.apache.spark.mllib.tree.model
 import org.apache.spark.mllib.tree.configuration.FeatureType.FeatureType
 
 /**
+ * <span class="badge badge-red" style="float: right;">DEVELOPER API</span>
+ *
  * Split applied to a feature
  * @param feature feature index
  * @param threshold threshold for continuous feature