freetensor::DiscreteRandVar Class Reference

#include <rand_var.h>

Public Member Functions
	DiscreteRandVar (const std::string &name, const Ref< RandCondInterface > &cond, const Ref< std::vector< int > > totCnt, const std::vector< int > &initObs)
void	observe (int value, int cnt=1)
std::vector< double >	prob () const
Ref< DiscreteRandVar >	clone () const
const std::string &	name () const

Friends
std::ostream &	operator<< (std::ostream &os, const DiscreteRandVar &var)

Detailed Description

Discrete random variable, can be any integer in [0, n)

A random variable that can be sampled (infered) and observed (learnt) using Naive Bayes

In Naive Bayes, the probability of an event C given conditions F_i, can be calculated by p(C) \Prod_i P(F_i | C) (https://en.wikipedia.org/wiki/Naive_Bayes_classifier). Here a DiscreteRandVar records P(F_i | C) for each C as prob. When picking the most likely C, one only need to multiply the obsVec vectors from each F_i, and pick a C with highest value

Constructor & Destructor Documentation

DiscreteRandVar()

freetensor::DiscreteRandVar::DiscreteRandVar ( const std::string &  name, const Ref< RandCondInterface > &  cond, const Ref< std::vector< int > >  totCnt, const std::vector< int > &  initObs  )

inline

Member Function Documentation

clone()

Ref< DiscreteRandVar > freetensor::DiscreteRandVar::clone ( ) const

inline

Clone as an indenpenden variable

name()

const std::string & freetensor::DiscreteRandVar::name ( ) const

inline

observe()

void freetensor::DiscreteRandVar::observe ( int  value, int  cnt = 1  )

inline

prob()

std::vector< double > freetensor::DiscreteRandVar::prob ( ) const

inline

Friends And Related Function Documentation

operator<<

std::ostream & operator<< ( std::ostream &  os, const DiscreteRandVar &  var  )

friend

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The documentation for this class was generated from the following file:

• include/probability/rand_var.h