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CorrelationVisitor Class Reference
[Machine Learning]

#include <vigra/random_forest/rf_visitors.hxx>

Inheritance diagram for CorrelationVisitor:
VisitorBase

List of all members.

Public Member Functions

template<class Tree , class Split , class Region , class Feature_t , class Label_t >
void visit_after_split (Tree &tree, Split &split, Region &parent, Region &leftChild, Region &rightChild, Feature_t &features, Label_t &labels)
template<class RF , class PR >
void visit_at_end (RF const &rf, PR const &pr)

Public Attributes

MultiArray< 2, double > corr_noise
MultiArray< 2, double > distance
MultiArray< 2, double > gini_missc
MultiArray< 2, double > noise
ArrayVector< int > numChoices
MultiArray< 2, double > similarity

Detailed Description

Computes Correlation/Similarity Matrix of features while learning random forest.


Member Data Documentation

MultiArray<2, double> gini_missc

gini_missc(ii, jj) describes how well variable jj can describe a partition created on variable ii(when variable ii was chosen)


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 1.8.0 (20 Sep 2011)