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kddml.Core.DataMining.ClassificationTrees.ClassificationProprietaryFactory Class Reference

Inheritance diagram for kddml.Core.DataMining.ClassificationTrees.ClassificationProprietaryFactory:

kddml.Core.DataMining.ModelProprietaryFactory kddml.Core.DataMining.ModelResourceFactory kddml.Core.KDDMLObjectResourceFactory kddml.Core.KDDMLObjectFactory List of all members.

Public Member Functions

 ClassificationProprietaryFactory (java.io.File f, DataDictionary dd, MiningSchema ms, Node root, ConfusionMatrix training_matrix, ConfusionMatrix test_matrix) throws KDDMLCoreException
KDDMLObject newInstance () throws KDDMLCoreException
void setBinaryNodeSplitting (boolean binary_split)

Detailed Description

A factory class that creates a generic model from a proprietary (i.e., not external) resource.

Title: KDDML

Description: Knowledge Discovery in Database Environment

Copyright: Copyright (c) 2003-2005

Company: Universita' di Pisa - Dipartimento di Informatica

Author:
Andrea Romei (romei@di.unipi.it)
Version:
2.0.16


Constructor & Destructor Documentation

kddml.Core.DataMining.ClassificationTrees.ClassificationProprietaryFactory.ClassificationProprietaryFactory java.io.File  f,
DataDictionary  dd,
MiningSchema  ms,
Node  root,
ConfusionMatrix  training_matrix,
ConfusionMatrix  test_matrix
throws KDDMLCoreException
 

Constructor.

Parameters:
f File the file containing the model.
dd DataDictionary the data dictionary.
ms MiningSchema the mining schema.
root Node the node root of the tree. Cannot be null.
training_matrix ConfusionMatrix the training confusion matrix. Can be null.
test_matrix ConfusionMatrix the test confusion matrix. Can be null.
Exceptions:
KDDMLCoreException 


Member Function Documentation

KDDMLObject kddml.Core.DataMining.ClassificationTrees.ClassificationProprietaryFactory.newInstance  )  throws KDDMLCoreException [virtual]
 

Returns a new instance of this object.

Exceptions:
KDDMLCoreException 
Returns:
KDDMLObject

Implements kddml.Core.KDDMLObjectFactory.

void kddml.Core.DataMining.ClassificationTrees.ClassificationProprietaryFactory.setBinaryNodeSplitting boolean  binary_split  ) 
 

Sets the splitting value of the tree. If binary_split is true, then the tree has exactly two children for each node. By default, binary_split is false.

Parameters:
binary_split boolean


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