Inheritance diagram for kddml.Core.DataMining.ClassificationTrees.TreeModelManager:
Public Member Functions | |
String | classify (Object instance) throws KDDMLCoreException |
boolean | isDecisionTree () throws KDDMLCoreException |
NodeManager | getRoot () |
ConfusionMatrixManager | getTrainingConfusionMatrix () |
ConfusionMatrixManager | getTestConfusionMatrix () |
void | setTrainingConfusionMatrix (ConfusionMatrixManager cm) |
void | setTestConfusionMatrix (ConfusionMatrixManager cm) |
boolean | isBinarySplitting () |
String | getTargetAttributeName () throws KDDMLCoreException |
String[] | getTargetAttributeValues () throws KDDMLCoreException |
Title: KDDML
Description: Knowledge Discovery in Database Environment
Copyright: Copyright (c) 2003-2005
Company: Universita' di Pisa - Dipartimento di Informatica
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Method used to classify an input instance. Returns the classification value. Cannot be null. Throws an exception is an error occurs.
Implemented in kddml.Core.DataMining.ClassificationTrees.TreeModel. |
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Returns true if the target attribute is binary (i.e. with exactly two category values). Throws an exception if the target attribute connot be found in the mining schema and data dictionary of the model.
Implemented in kddml.Core.DataMining.ClassificationTrees.TreeModel. |
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Returns the root node for this classification tree.
Implemented in kddml.Core.DataMining.ClassificationTrees.TreeModel. |
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Returns the training confusion matrix related to the model. Returns null if the model do not have a confusion matrix associated.
Implemented in kddml.Core.DataMining.ClassificationTrees.TreeModel. |
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Returns the test confusion matrix related to the model. Returns null if the model do not have a confusion matrix associated.
Implemented in kddml.Core.DataMining.ClassificationTrees.TreeModel. |
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Sets the training confusion matrix to the model.
Implemented in kddml.Core.DataMining.ClassificationTrees.TreeModel. |
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Sets the test confusion matrix to the model.
Implemented in kddml.Core.DataMining.ClassificationTrees.TreeModel. |
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Indicates whether the tree model has exactly two children per node, or multiple childrens per node. In the case of binary_split = false, it means that each node may have 2 or more child nodes.
Implemented in kddml.Core.DataMining.ClassificationTrees.TreeModel. |
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Returns the name of the target attribute. Throws an exception if the target attribute connot be found in the mining schema.
Implemented in kddml.Core.DataMining.ClassificationTrees.TreeModel. |
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Returns the categories associated to the target attributes. Throws an exception if the target attribute connot be found in the mining schema.
Implemented in kddml.Core.DataMining.ClassificationTrees.TreeModel. |