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|   | CorrelationVisitor Class Reference |  | 
#include <vigra/random_forest/rf_visitors.hxx>
 
  
 | 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 | 
| Additional Inherited Members | |
|  Public Member Functions inherited from VisitorBase | |
| double | return_val () | 
| 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 , class SM , class ST > | |
| void | visit_after_tree (RF &rf, PR &pr, SM &sm, ST &st, int index) | 
| template<class RF , class PR > | |
| void | visit_at_beginning (RF const &rf, PR const &pr) | 
| template<class RF , class PR > | |
| void | visit_at_end (RF const &rf, PR const &pr) | 
| template<class TR , class IntT , class TopT , class Feat > | |
| void | visit_external_node (TR &tr, IntT index, TopT node_t, Feat &features) | 
| template<class TR , class IntT , class TopT , class Feat > | |
| void | visit_internal_node (TR &, IntT, TopT, Feat &) | 
Computes Correlation/Similarity Matrix of features while learning random forest.
| 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)
| MultiArray<2, double> noise | 
additional noise features.
| MultiArray<2, double> corr_noise | 
how well can a noise column describe a partition created on variable ii.
| MultiArray<2, double> similarity | 
Similarity Matrix
(numberOfFeatures + 1) by (number Of Features + 1) Matrix gini_missc
| MultiArray<2, double> distance | 
Distance Matrix 1-similarity
| ArrayVector<int> numChoices | 
How often was variable ii chosen
| 
© Ullrich Köthe     (ullrich.koethe@iwr.uni-heidelberg.de)  | 
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