Inheritance diagram for kddml.Core.DataMining.ClassificationTrees.ClassificationExternalFactory:
Public Member Functions | |
ClassificationExternalFactory (java.io.File f) throws KDDMLCoreException | |
KDDMLObject | newInstance () throws KDDMLCoreException |
Protected Member Functions | |
abstract Node | buildTree () throws TreeModelException |
abstract ConfusionMatrix | buildTrainingConfusionMatrix () throws TreeModelException |
abstract ConfusionMatrix | buildTestConfusionMatrix () throws TreeModelException |
abstract boolean | isBinarySplitting () |
Title: KDDML
Description: Knowledge Discovery in Database Environment
Copyright: Copyright (c) 2003-2005
Company: Universita' di Pisa - Dipartimento di Informatica
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Constructor given the physical file containing the object.
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Returns a new instance of this object.
Reimplemented from kddml.Core.DataMining.ModelExternalFactory. |
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Returns the node root of the tree. Cannot be null.
Implemented in kddml.Core.DataMining.ClassificationTrees.JDMClassificationFactory, and kddml.Core.DataMining.ClassificationTrees.PMML2_0ClassificationFactory. |
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Returns the confusion training matrix of the model. Can be null if no confusion training matrix is provided with the model.
Implemented in kddml.Core.DataMining.ClassificationTrees.JDMClassificationFactory, and kddml.Core.DataMining.ClassificationTrees.PMML2_0ClassificationFactory. |
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Returns the test confusion matrix of the model. Can be null. Can be null if no text confusion matrix is provided with the model.
Implemented in kddml.Core.DataMining.ClassificationTrees.JDMClassificationFactory, and kddml.Core.DataMining.ClassificationTrees.PMML2_0ClassificationFactory. |
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Returns true if the model uses the binary splitting (every node with exactly 2 children). Returns false otherwise.
Implemented in kddml.Core.DataMining.ClassificationTrees.JDMClassificationFactory, and kddml.Core.DataMining.ClassificationTrees.PMML2_0ClassificationFactory. |