srr/training.hh
900b64533547master

training.hh
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			#ifndef __TRAINING__HH
			#define __TRAINING__HH
			#include <cstdio>
			#include <cstdlib>
			#include <iostream>
			#include <fstream>
			#include <sstream>
			#include <iomanip>
			#include <cstring>
			#include "type_definitions.hh"
			#include "readScenarios.hh"
			#include "dlib-18.12/dlib/optimization.h"
			#include "dlib-18.12/dlib/matrix/matrix_abstract.h"

			class Training{
			public:

			Training(ReadScenarios * input_inf);

			void ClassifyScenarios_Step1();
			void DefiningDistInfluent_Step1();
			void ComputingLocalIMorans_Step1();
			void BellShape_Step1_withMoransICriteria();
			void ComputingPotency_Step1();
			void BellShape_Step1_withPotencyCriteria();
			void BellShape_Step2_TraditionalRegression(int SelectWindows);
			void BellShape_Step2_PCRegression(int SelectWindows);


			private:

			ReadScenarios * input_info; // This object contains all the information read
			FourVectorD Dist; //Vector of distances relating the distances between emissions and concentrations grids (ENx,ENy,CNx,CNy)
			std::vector<int> validScn_ByPrec; //Vector containing the number of the correct scenarios for each precursor (it is used in BellShape_Step1)
			//If value is -1, then no scenario exist for the precursor

			DoubleVectorD Dist_influence; //(nPoll, nPre)

			static const int NX = 10;
			double Dist_[NX];

			FourVectorD MoransI; //(nPoll, nPre, nX, nY)
			FourVectorD Potency; //(nPoll, nPre, nX, nY)


			};

			#endif //__READSCENARIOS__HH