C# Class Accord.Tests.MachineLearning.C45LearningTest

Show file Open project: accord-net/framework

Public Methods

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

Private Methods

Method	Description
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

Method Details

ComputeError() public method

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

CreateMitchellExample() public static method

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