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details Machine Learning VIGRA

Namespaces

 vigra::rf::visitors
 Visitors to extract information during training of vigra::RandomForest version 2.
 

Classes

class  RandomForest< LabelType, PreprocessorTag >
 Random forest version 2 (see also vigra::rf3::RandomForest for version 3) More...
 
class  Sampler< Random >
 Create random samples from a sequence of indices. More...
 
class  SamplerOptions
 Options object for the Sampler class. More...
 

Detailed Description

This module provides classification algorithms that map features to labels or label probabilities. Look at the vigra::RandomForest class (for implementation version 2) or the vigra::rf3::random_forest() factory function (for implementation version 3) for an overview of the functionality as well as use cases.

© Ullrich Köthe (ullrich.koethe@iwr.uni-heidelberg.de)
Heidelberg Collaboratory for Image Processing, University of Heidelberg, Germany

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