Detailed Description

Utility class for CRelaxedTree

Definition at line 23 of file RelaxedTreeUtil.h.

Public Member Functions
SGMatrix< float64_t >	estimate_confusion_matrix (CBaseMulticlassMachine machine, CFeatures X, CMulticlassLabels *Y, int32_t num_classes)
void	get_confusion_matrix (SGMatrix< float64_t > &conf_mat, CMulticlassLabels gt, CMulticlassLabels pred)

Member Function Documentation

SGMatrix< float64_t > estimate_confusion_matrix	(	CBaseMulticlassMachine *	machine,
		CFeatures *	X,
		CMulticlassLabels *	Y,
		int32_t	num_classes
	)

estimate confusion matrix with cross validation.

Parameters:

	machine	multiclass machine used to compute confusion matrix
	X	training data
	Y	labels for training data
	num_classes	number of classes

Definition at line 17 of file RelaxedTreeUtil.cpp.

Get confusion matrix.

Parameters:

	conf_mat	num_class-by-num_class matrix, confusion matrix will be assigned to this
	gt	ground-truth labels
	pred	predicted labels

Definition at line 76 of file RelaxedTreeUtil.cpp.

The documentation for this class was generated from the following files: