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#Org.apache.spark.mllib.tree.model Classes and Interfaces - 7 results found.
| Name | Description | Type | Package | Framework |
| DecisionTreeModel | Decision tree model for classification or regression. | Class | org.apache.spark.mllib.tree.model | Apache Spark |
| GradientBoostedTreesModel | Represents a gradient boosted trees model. | Class | org.apache.spark.mllib.tree.model | Apache Spark |
| InformationGainStats | Information gain statistics for each split param: gain information gain value | Class | org.apache.spark.mllib.tree.model | Apache Spark |
| Node | Node in a decision tree. | Class | org.apache.spark.mllib.tree.model | Apache Spark |
| Predict | Predicted value for a node param: predict predicted value | Class | org.apache.spark.mllib.tree.model | Apache Spark |
| RandomForestModel | Represents a random forest model. | Class | org.apache.spark.mllib.tree.model | Apache Spark |
| Split | Split applied to a feature param: feature feature index | Class | org.apache.spark.mllib.tree.model | Apache Spark |