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OOB_PerTreeError Class Reference

#include <vigra/random_forest/rf_visitors.hxx>

Inheritance diagram for OOB_PerTreeError:
VisitorBase

Public Member Functions

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_end (RF &rf, PR &pr)
- 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 >
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 &tr, IntT index, TopT node_t, Feat &features)

Public Attributes

double oobError

Detailed Description

Visitor that calculates the oob error of each individual randomized decision tree.

After training a tree, all those samples that are OOB for this particular tree are put down the tree and the error estimated. the per tree oob error is the average of the individual error estimates. (oobError = average error of one randomized tree) Note: This is Not the OOB - Error estimate suggested by Breiman (See OOB_Error visitor)


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

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vigra 1.7.1 (Wed Mar 12 2014)