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details VariableSelectionResult Class Reference VIGRA

#include <vigra/random_forest/rf_algorithm.hxx>

List of all members.

Public Member Functions

template<class FeatureT , class ResponseT , class ErrorRateCallBack >
bool init (FeatureT const &all_features, ResponseT const &response, ErrorRateCallBack errorcallback)

Public Attributes

ErrorList_t errors
double no_features
FeatureList_t selected

Detailed Description

Structure to hold Variable Selection results


Member Function Documentation

bool init ( FeatureT const &  all_features,
ResponseT const &  response,
ErrorRateCallBack  errorcallback 
)

initialization routine. Will be called only once in the lifetime of a VariableSelectionResult. Subsequent calls will not reinitialize member variables.

This is intended, to allow continuing variable selection at a point stopped in an earlier iteration.

returns true if initialization was successful and false if the object was already initialized before.


Member Data Documentation

FeatureList_t selected

list of features.

ErrorList_t errors

vector of size (number of features)

the i-th entry encodes the error rate obtained while using features [0 - i](including i)

if the i-th entry is -1 then no error rate was obtained this may happen if more than one feature is added to the selected list in one step of the algorithm.

during initialisation error[m+n-1] is always filled

double no_features

errorrate using no features


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 1.9.0 (Tue Nov 6 2012)