/*
    Copyright (C) 2012 Bartosz Broda, Jacek Bochenek, Łukasz Biłeńkij, 
    Damian Jaworski, Wojciech Mazur, Dominik Piasecki, Maciej Piasecki, 
    Radosław Ramocki
    
    This program is free software; you can redistribute it and/or modify it
under the terms of the GNU Lesser General Public License as published by the Free
Software Foundation; either version 3 of the License, or (at your option)
any later version.

    This program is distributed in the hope that it will be useful, but
WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
or FITNESS FOR A PARTICULAR PURPOSE. 

    See the LICENSE and COPYING files for more details.
*/

#pragma once
#include "../comparator_stdheaders.h"
#include "WeightFeature.h"
#include "LocalWeightFeature.h"

namespace smartcomparator
{
	namespace weights
	{
		class SMART_COMPARATOR_API LogEntNormalizeWeight : public WeightFeature
		{
		public:
			/**
			\param useFilteredEntropy jezeli true, to do liczenia entropi liczy tylko wartosci wskazywane 
			przez odfiltrowane indeksy
			*/
			LogEntNormalizeWeight(Matrices::SuperMatrixPtr m, bool useFilteredEntropy = false);
			virtual ~LogEntNormalizeWeight(void);

			/**
			Wersja globalna
			*/
			virtual void Weight(size_t rowindex, Matrices::CompressedVector *v, std::set<size_t> &filteredIndices) ;
		private:
			bool m_UseFilteredEntropy;
			/**
			Oblicza zamienia kazda czestosc na logarytm i liczy sume we wierszu (po filteredInidices)
			*/
			double SumAndLog(Matrices::CompressedVector *v, std::set<size_t> &filteredIndices);
			double CountEntropy(Matrices::CompressedVector *v, std::set<size_t> &filteredIndices, double sum);
			void DevideByEntropy(Matrices::CompressedVector *v, std::set<size_t> &filteredIndices, double entropy);
		};
	}
}
