CLUS::ContinuousLinearTransformation Class Reference

Applies linear shifts on continuous data. More...

#include <continuouslineartransformation.h>

Public Member Functions
	ContinuousLinearTransformation (int NoAttributes, int NoDatasets, Matrix< double > &TrainingDataset)
double	getShift (int i, int j)
void	SetShiftsAttribute (int attrib, Vector< double > &shiftsAtt)
double	GetShift (int attrib, int datasetIndex)
void	ApplyShiftToTuple (double *dataPoint, int datasetIndex)
	Use the same convention with last position encoding the original dataset.
bool	HasAttributeShifts (int attrib)
Private Attributes
Vector< bool >	mask
	keep track the attributes
Matrix< double >	shifts
	shifts: attributes as rows, datasets as columns
Matrix< double > &	dataset
	original dataset; transformations are applied to it when they change

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Detailed Description

Applies linear shifts on continuous data.

Keeps track of what columns transformations are applied on.

Applying the shift means substracting it from the dataset.

Definition at line 51 of file continuouslineartransformation.h.

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Constructor & Destructor Documentation

CLUS::ContinuousLinearTransformation::ContinuousLinearTransformation (  int  NoAttributes, int  NoDatasets, Matrix< double > &  TrainingDataset )  [inline]

Definition at line 63 of file continuouslineartransformation.h.

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Member Function Documentation

void CLUS::ContinuousLinearTransformation::ApplyShiftToTuple (  double *  dataPoint, int  datasetIndex )  [inline]

Use the same convention with last position encoding the original dataset. Definition at line 113 of file continuouslineartransformation.h. Referenced by CLUS::MultiDecisionTree< T_Splitter >::Infer(), and CLUS::MultiDecisionTree< T_Splitter >::Prune().

double CLUS::ContinuousLinearTransformation::GetShift (  int  attrib, int  datasetIndex )  [inline]

Definition at line 107 of file continuouslineartransformation.h. Referenced by CLUS::BinaryMultiClassificationSplitter::ComputeCenter(), CLUS::BinaryMultiClassificationSplitter::ComputeSplitPoint(), and CLUS::BinaryMultiClassificationSplitter::getContinuousShift().

double CLUS::ContinuousLinearTransformation::getShift (  int  i, int  j )  [inline]

Definition at line 70 of file continuouslineartransformation.h. Referenced by CLUS::MultiDecisionTree< T_Splitter >::SaveToStream().

bool CLUS::ContinuousLinearTransformation::HasAttributeShifts (  int  attrib  )  [inline]

Definition at line 122 of file continuouslineartransformation.h. Referenced by CLUS::BinaryMultiClassificationSplitter::ComputeSplitVariable(), CLUS::BinaryMultiClassificationSplitter::InitializeSplitStatistics(), CLUS::MultiDecisionTree< T_Splitter >::SaveToStream(), and CLUS::BinaryMultiClassificationSplitter::UpdateSplitStatistics().

void CLUS::ContinuousLinearTransformation::SetShiftsAttribute (  int  attrib, Vector< double > &  shiftsAtt )  [inline]

Definition at line 76 of file continuouslineartransformation.h. Referenced by CLUS::MultiDecisionTree< T_Splitter >::Identify().

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Field Documentation

Matrix<double>& CLUS::ContinuousLinearTransformation::dataset [private]

original dataset; transformations are applied to it when they change Definition at line 60 of file continuouslineartransformation.h. Referenced by ContinuousLinearTransformation(), and SetShiftsAttribute().

Vector<bool> CLUS::ContinuousLinearTransformation::mask [private]

keep track the attributes Definition at line 54 of file continuouslineartransformation.h. Referenced by ApplyShiftToTuple(), ContinuousLinearTransformation(), getShift(), HasAttributeShifts(), and SetShiftsAttribute().

Matrix<double> CLUS::ContinuousLinearTransformation::shifts [private]

shifts: attributes as rows, datasets as columns Definition at line 57 of file continuouslineartransformation.h. Referenced by ApplyShiftToTuple(), ContinuousLinearTransformation(), GetShift(), getShift(), and SetShiftsAttribute().

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

• continuouslineartransformation.h

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