diff options
Diffstat (limited to 'mllib/src/main/scala/org/apache/spark/ml/classification/RandomForestClassifier.scala')
-rw-r--r-- | mllib/src/main/scala/org/apache/spark/ml/classification/RandomForestClassifier.scala | 7 |
1 files changed, 1 insertions, 6 deletions
diff --git a/mllib/src/main/scala/org/apache/spark/ml/classification/RandomForestClassifier.scala b/mllib/src/main/scala/org/apache/spark/ml/classification/RandomForestClassifier.scala index 9a26a5c5b1..4ab132e5f2 100644 --- a/mllib/src/main/scala/org/apache/spark/ml/classification/RandomForestClassifier.scala +++ b/mllib/src/main/scala/org/apache/spark/ml/classification/RandomForestClassifier.scala @@ -20,7 +20,7 @@ package org.apache.spark.ml.classification import org.json4s.{DefaultFormats, JObject} import org.json4s.JsonDSL._ -import org.apache.spark.annotation.{Experimental, Since} +import org.apache.spark.annotation.Since import org.apache.spark.ml.feature.LabeledPoint import org.apache.spark.ml.linalg.{DenseVector, SparseVector, Vector, Vectors} import org.apache.spark.ml.param.ParamMap @@ -36,14 +36,12 @@ import org.apache.spark.sql.functions._ /** - * :: Experimental :: * [[http://en.wikipedia.org/wiki/Random_forest Random Forest]] learning algorithm for * classification. * It supports both binary and multiclass labels, as well as both continuous and categorical * features. */ @Since("1.4.0") -@Experimental class RandomForestClassifier @Since("1.4.0") ( @Since("1.4.0") override val uid: String) extends ProbabilisticClassifier[Vector, RandomForestClassifier, RandomForestClassificationModel] @@ -124,7 +122,6 @@ class RandomForestClassifier @Since("1.4.0") ( } @Since("1.4.0") -@Experimental object RandomForestClassifier extends DefaultParamsReadable[RandomForestClassifier] { /** Accessor for supported impurity settings: entropy, gini */ @Since("1.4.0") @@ -140,7 +137,6 @@ object RandomForestClassifier extends DefaultParamsReadable[RandomForestClassifi } /** - * :: Experimental :: * [[http://en.wikipedia.org/wiki/Random_forest Random Forest]] model for classification. * It supports both binary and multiclass labels, as well as both continuous and categorical * features. @@ -149,7 +145,6 @@ object RandomForestClassifier extends DefaultParamsReadable[RandomForestClassifi * Warning: These have null parents. */ @Since("1.4.0") -@Experimental class RandomForestClassificationModel private[ml] ( @Since("1.5.0") override val uid: String, private val _trees: Array[DecisionTreeClassificationModel], |