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Processor< RegressionTag, LabelType, T1, C1, T2, C2 > Class Template Reference

#include <vigra/random_forest/rf_preprocessing.hxx>

Public Member Functions

MultiArrayView< 2, T1, C1 > & features ()
 
MultiArrayView< 2, T2, C2 > & response ()
 
MultiArray< 2, int > & strata ()
 

Detailed Description

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

Regression Preprocessor - This basically does not do anything with the data.

Member Function Documentation

◆ features()

template<class LabelType, class T1, class C1, class T2, class C2>
MultiArrayView< 2, T1, C1 > & features ( )

access preprocessed features

◆ response()

template<class LabelType, class T1, class C1, class T2, class C2>
MultiArrayView< 2, T2, C2 > & response ( )

access preprocessed response

◆ strata()

template<class LabelType, class T1, class C1, class T2, class C2>
MultiArray< 2, int > & strata ( )

access strata - this is 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 1.12.2 (Mon Apr 14 2025)