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details Processor< ClassificationTag, LabelType, T1, C1, T2, C2 > Class Template Reference VIGRA

#include <vigra/random_forest/rf_preprocessing.hxx>

Public Member Functions

MultiArrayView< 2, T1, C1 > const & features ()
 
MultiArrayView< 2, LabelInt > response ()
 
ArrayVectorView< LabelInt > strata ()
 
ArrayVectorView< double > strata_prob ()
 

Detailed Description

template<class LabelType, class T1, class C1, class T2, class C2>
class vigra::Processor< ClassificationTag, LabelType, T1, C1, T2, C2 >

Preprocessor used during Classification

This class converts the labels int Integral labels which are used by the standard split functor to address memory in the node objects.

Member Function Documentation

MultiArrayView<2, T1, C1> const& features ( )

Access the processed features

MultiArrayView<2, LabelInt> response ( )

Access processed labels

ArrayVectorView< LabelInt> strata ( )

Access processed strata

ArrayVectorView< double> strata_prob ( )

Access strata fraction sized - not used currently


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

© Ullrich Köthe (ullrich.koethe@iwr.uni-heidelberg.de)
Heidelberg Collaboratory for Image Processing, University of Heidelberg, Germany

html generated using doxygen and Python
vigra 1.11.1 (Fri May 19 2017)