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Diffstat (limited to 'python/pyspark/mllib/tree.py')
| -rw-r--r-- | python/pyspark/mllib/tree.py | 12 |
1 files changed, 0 insertions, 12 deletions
diff --git a/python/pyspark/mllib/tree.py b/python/pyspark/mllib/tree.py index 8be76fcefe..b3011d42e5 100644 --- a/python/pyspark/mllib/tree.py +++ b/python/pyspark/mllib/tree.py @@ -76,8 +76,6 @@ class TreeEnsembleModel(JavaModelWrapper, JavaSaveable): class DecisionTreeModel(JavaModelWrapper, JavaSaveable, JavaLoader): """ - .. note:: Experimental - A decision tree model for classification or regression. .. versionadded:: 1.1.0 @@ -130,8 +128,6 @@ class DecisionTreeModel(JavaModelWrapper, JavaSaveable, JavaLoader): class DecisionTree(object): """ - .. note:: Experimental - Learning algorithm for a decision tree model for classification or regression. @@ -283,8 +279,6 @@ class DecisionTree(object): @inherit_doc class RandomForestModel(TreeEnsembleModel, JavaLoader): """ - .. note:: Experimental - Represents a random forest model. .. versionadded:: 1.2.0 @@ -297,8 +291,6 @@ class RandomForestModel(TreeEnsembleModel, JavaLoader): class RandomForest(object): """ - .. note:: Experimental - Learning algorithm for a random forest model for classification or regression. @@ -486,8 +478,6 @@ class RandomForest(object): @inherit_doc class GradientBoostedTreesModel(TreeEnsembleModel, JavaLoader): """ - .. note:: Experimental - Represents a gradient-boosted tree model. .. versionadded:: 1.3.0 @@ -500,8 +490,6 @@ class GradientBoostedTreesModel(TreeEnsembleModel, JavaLoader): class GradientBoostedTrees(object): """ - .. note:: Experimental - Learning algorithm for a gradient boosted trees model for classification or regression. |