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Packages that use Node | |
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rdr.core | |
rdr.methods |
Uses of Node in rdr.core |
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Fields in rdr.core with type parameters of type Node | |
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common.datastructures.MyFastVector<Node> |
Classifier.nodeIndex
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Methods in rdr.core that return types with arguments of type Node | |
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abstract common.datastructures.MyFastVector<Node> |
Classifier.classify(Case c)
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common.datastructures.MyFastVector<Node> |
Classifier.getNodeIndex()
Get the nodeIndex |
Methods in rdr.core with parameters of type Node | |
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void |
SimulatedExpert.buildException(Node parent,
common.datastructures.MyFastVector<Condition> availableConditions,
Case currentCase)
Select a portion of the availableConditions to make an exception rule to parent which is satisfied by currentCase |
void |
SimulatedExpert.buildRule(Node parent,
common.datastructures.MyFastVector<Condition> availableConditions,
Case currentCase,
Classification conc)
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abstract boolean |
Classifier.insertNode(Case theCase,
Node newNode,
Node parentNode)
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Method parameters in rdr.core with type arguments of type Node | |
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void |
SimulatedExpert.compareOutcomes(Case currentCase,
weka.core.Instance currentInstance,
common.datastructures.MyFastVector<Node> results,
common.datastructures.MyFastVector<java.lang.String> predictedClasses,
java.lang.String[] labelNames)
Compares the rdrResults with the predicted outcomes from the machine learned knowledge base. |
Uses of Node in rdr.methods |
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Subclasses of Node in rdr.methods | |
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class |
BinaryTreeNode
A binary tree node object. |
class |
NTreeNode
A node object for an n-tree. |
Methods in rdr.methods that return types with arguments of type Node | |
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common.datastructures.MyFastVector<Node> |
SCRDR.classify(Case c)
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common.datastructures.MyFastVector<Node> |
MCRDR.classify(Case c)
The default classify method. |
common.datastructures.MyFastVector<Node> |
MCRDR.classify(Case c,
NTreeNode n)
Perform an MCRDR inference to classify the case c |
Methods in rdr.methods with parameters of type Node | |
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boolean |
SCRDR.insertNode(Case theCase,
Node newNode,
Node parentNode)
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boolean |
MCRDR.insertNode(Case theCase,
Node newNode,
Node parentNode)
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