Hierarchy For Package org.tribuo.common.tree

Package Hierarchies:

• All Packages

Class Hierarchy

• java.lang.Object
  • org.tribuo.common.tree.AbstractCARTTrainer<T> (implements org.tribuo.common.tree.DecisionTreeTrainer<T>)
  • org.tribuo.common.tree.AbstractTrainingNode<T> (implements org.tribuo.common.tree.Node<T>)
  • org.tribuo.common.tree.AbstractTrainingNode.LeafDeterminer
  • org.tribuo.ensemble.BaggingTrainer<T> (implements org.tribuo.Trainer<T>)
    • org.tribuo.common.tree.ExtraTreesTrainer<T>
    • org.tribuo.common.tree.RandomForestTrainer<T>
  • org.tribuo.common.tree.LeafNode<T> (implements org.tribuo.common.tree.Node<T>)
  • org.tribuo.Model<T> (implements org.tribuo.protos.ProtoSerializable<T>, com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>, java.io.Serializable)
    • org.tribuo.SparseModel<T>
      • org.tribuo.common.tree.TreeModel<T>
  • com.oracle.labs.mlrg.olcut.provenance.impl.SkeletalConfiguredObjectProvenance (implements com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance)
    • org.tribuo.provenance.SkeletalTrainerProvenance (implements org.tribuo.provenance.TrainerProvenance)
      • org.tribuo.common.tree.AbstractCARTTrainer.AbstractCARTTrainerProvenance
  • org.tribuo.common.tree.SplitNode<T> (implements org.tribuo.common.tree.Node<T>)

Interface Hierarchy

• com.oracle.labs.mlrg.olcut.config.Configurable
  • org.tribuo.Trainer<T> (also extends com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>)
    • org.tribuo.SparseTrainer<T>
      • org.tribuo.common.tree.DecisionTreeTrainer<T> (also extends org.tribuo.WeightedExamples)
• com.oracle.labs.mlrg.olcut.provenance.Provenancable<T>
  • org.tribuo.Trainer<T> (also extends com.oracle.labs.mlrg.olcut.config.Configurable)
    • org.tribuo.SparseTrainer<T>
      • org.tribuo.common.tree.DecisionTreeTrainer<T> (also extends org.tribuo.WeightedExamples)
• java.io.Serializable
  • org.tribuo.common.tree.Node<T>
• org.tribuo.WeightedExamples
  • org.tribuo.common.tree.DecisionTreeTrainer<T> (also extends org.tribuo.SparseTrainer<T>)