NICE_VisLearning/classifier/fpclassifier/logisticregression/FPCSMLR.h

/** 
 * @file FPCSMLR.h
 * @brief implementation of Sparse Multinomial Logistic Regression (SMLR) Classififier, it uses a SLR for each class and combines the results
 * @author Björn Fröhlich
 * @date 06/23/2009

 */
#ifndef FPCSMLRDEF
#define FPCSMLRDEF

#include <vislearning/nice.h>

#include "vislearning/classifier/classifierbase/FeaturePoolClassifier.h"
#include "vislearning/classifier/fpclassifier/logisticregression/SLR.h"
#include "vislearning/cbaselib/FeaturePool.h"
#include "core/algebra/GMSparseVectorMatrix.h"

namespace OBJREC {

class FPCSMLR : public FeaturePoolClassifier
{
    protected:
	//! the configuration file
	const NICE::Config *conf;

	//! section in the configfile
	std::string confsection;
	
	//! the featurepool
	FeaturePool fp;
	
	//! the one vs all sparse logistic classifiers
	std::vector<SLR> classifiers;
	
	//! just use the features from pictures, which the class contains
	bool inpic;
		
    public:
	/**
	 * standard constructor
	 * @param conf configfile
	 * @param section section name in configfile for classifier
	 */
	FPCSMLR( const NICE::Config *conf, std::string section="SMLR");
      
	
	/**
	 * simple constructor -> does nothing
	 */
	FPCSMLR ();

	/**
	 * simple destructor
	 */
	~FPCSMLR();

	/**
	 * main classification function
	 * @param pce input feature
	 * @return a classification result
	 */
	ClassificationResult classify ( Example & pce );

	/**
	 * start training
	 * @param fp a featurepool (how to handle which features...)
	 * @param examples input features
	 */
	void train ( FeaturePool & _fp, Examples & examples );

	/**
	 * clone this object
	 * @return a copy of this object
	 */
	FeaturePoolClassifier *clone () const;

	/**
	 * set complexity for the next training process e.g. number of weak classifiers
	 * @param size new complexity
	 */
	void setComplexity ( int size );

	/** IO functions */
	void restore (std::istream & is, int format = 0);
	void store (std::ostream & os, int format = 0) const;
	void clear ();
};

} // namespace

#endif