C# 클래스 Accord.Tests.MachineLearning.C45LearningTest

파일 보기 프로젝트 열기: accord-net/framework

공개 메소드들

메소드	설명
ComputeError ( DecisionSet rules, double inputs, int outputs ) : double
CreateMitchellExample ( Accord.MachineLearning.DecisionTrees.DecisionTree &tree, double &inputs, int &outputs ) : void

비공개 메소드들

메소드	설명
ArgumentCheck1 ( ) : void
AttributeReuseTest1 ( ) : void
ConsistencyTest1 ( ) : void
ConstantContinuousVariableTest ( ) : void
ConstantDiscreteVariableTest ( ) : void
IrisDatasetTest ( ) : void
LargeRunTest ( ) : void
LargeSampleTest2 ( ) : void
RunTest ( ) : void
iris_new_method_create_tree ( ) : void
new_method_create_tree ( ) : void
same_input_different_output ( ) : void
same_input_different_output_minimal ( ) : void

메소드 상세

ComputeError() 공개 메소드

public ComputeError ( DecisionSet rules, double inputs, int outputs ) : double
rules	DecisionSet
inputs	double
outputs	int
리턴	double

CreateMitchellExample() 공개 정적인 메소드

public static CreateMitchellExample ( Accord.MachineLearning.DecisionTrees.DecisionTree &tree, double &inputs, int &outputs ) : void
tree	Accord.MachineLearning.DecisionTrees.DecisionTree
inputs	double
outputs	int
리턴	void