diff options
Diffstat (limited to 'mllib/src/main/scala/org/apache/spark/ml/classification/GBTClassifier.scala')
-rw-r--r-- | mllib/src/main/scala/org/apache/spark/ml/classification/GBTClassifier.scala | 7 |
1 files changed, 1 insertions, 6 deletions
diff --git a/mllib/src/main/scala/org/apache/spark/ml/classification/GBTClassifier.scala b/mllib/src/main/scala/org/apache/spark/ml/classification/GBTClassifier.scala index 4e534baddc..5946a12933 100644 --- a/mllib/src/main/scala/org/apache/spark/ml/classification/GBTClassifier.scala +++ b/mllib/src/main/scala/org/apache/spark/ml/classification/GBTClassifier.scala @@ -21,7 +21,7 @@ import com.github.fommil.netlib.BLAS.{getInstance => blas} 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.internal.Logging import org.apache.spark.ml.{PredictionModel, Predictor} import org.apache.spark.ml.feature.LabeledPoint @@ -40,7 +40,6 @@ import org.apache.spark.sql.functions._ import org.apache.spark.sql.types.DoubleType /** - * :: Experimental :: * [[http://en.wikipedia.org/wiki/Gradient_boosting Gradient-Boosted Trees (GBTs)]] * learning algorithm for classification. * It supports binary labels, as well as both continuous and categorical features. @@ -57,7 +56,6 @@ import org.apache.spark.sql.types.DoubleType * [https://issues.apache.org/jira/browse/SPARK-4240] */ @Since("1.4.0") -@Experimental class GBTClassifier @Since("1.4.0") ( @Since("1.4.0") override val uid: String) extends Predictor[Vector, GBTClassifier, GBTClassificationModel] @@ -149,7 +147,6 @@ class GBTClassifier @Since("1.4.0") ( } @Since("1.4.0") -@Experimental object GBTClassifier extends DefaultParamsReadable[GBTClassifier] { /** Accessor for supported loss settings: logistic */ @@ -161,7 +158,6 @@ object GBTClassifier extends DefaultParamsReadable[GBTClassifier] { } /** - * :: Experimental :: * [[http://en.wikipedia.org/wiki/Gradient_boosting Gradient-Boosted Trees (GBTs)]] * model for classification. * It supports binary labels, as well as both continuous and categorical features. @@ -171,7 +167,6 @@ object GBTClassifier extends DefaultParamsReadable[GBTClassifier] { * @param _treeWeights Weights for the decision trees in the ensemble. */ @Since("1.6.0") -@Experimental class GBTClassificationModel private[ml]( @Since("1.6.0") override val uid: String, private val _trees: Array[DecisionTreeRegressionModel], |