Annotation of /trunk/gadget/multinomial.h

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1 :	agomez	1	#ifndef multinomial_h
2 :			#define multinomial_h
3 :
4 :			#include "doublevector.h"
5 :
6 :			/**
7 :			* \class Multinomial
8 :			* \brief This is the class that calculates a log likelihood score by comparing 2 vectors based on a multinomial distribution
9 :			*/
10 :			class Multinomial {
11 :			public:
12 :			/**
13 :			* \brief This is the default Multinomial constructor
14 :			*/
15 :			Multinomial() { bigvalue = 0.0; loglikelihood = 0.0; };
16 :			/**
17 :			* \brief This is the default Multinomial destructor
18 :			*/
19 :			~Multinomial() {};
20 :			/**
21 :			* \brief This function will set the minimum probability value
22 :			* \param value is the bigvalue used to calculate the minimum probabilty
23 :			*/
24 :			void setValue(double value) { bigvalue = value; };
25 :			/**
26 :			* \brief This function will reset the log likelihood score
27 :			*/
28 :			void Reset() { loglikelihood = 0.0; };
29 :			/**
30 :			* \brief This is the function that calculates a log likelihood score by comparing 2 vectors based on a multinomial distribution
31 :			* \param data is the DoubleVector containing the input data
32 :			* \param dist is the DoubleVector containing the modelled data
33 :			* \return likelihood
34 :			*/
35 :			double calcLogLikelihood(const DoubleVector& data, const DoubleVector& dist);
36 :			/**
37 :			* \brief This will return the log likelihood score
38 :			* \return loglikelihood
39 :			*/
40 :			double getLogLikelihood() const { return loglikelihood; };
41 :			protected:
42 :			/**
43 :			* \brief This is used to calculate the default minimum probability for unlikely values
44 :			*/
45 :			double bigvalue;
46 :			/**
47 :			* \brief This is the log likelihood score
48 :			*/
49 :			double loglikelihood;
50 :			};
51 :
52 :			#endif

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