Naive bayes classifier More...

Public Member Functions
	NaiveBayes (int ATokenWeight=1, int BTokenWeight=1, double MinTokenProbability=0.01, double MaxTokenProbability=0.999, int MaxInterestingTokenCount=int.MaxValue, int MinCountForInclusion=1)
	Constructor More...

virtual double	CalculateProbabilityOfTokens (IEnumerable< T > Items)
	Calculates the probability of the list of tokens being in set A More...

virtual void	LoadTokens (IEnumerable< T > SetATokens, IEnumerable< T > SetBTokens)
	Loads a set of tokens More...

Protected Member Functions
virtual double	CalculateProbabilityOfToken (T Item)
	Calculates a single items probability of being in set A More...

Properties
int	ATokenWeight `[get, set]`
	Weight to give to the probabilities in set A More...

int	BTokenWeight `[get, set]`
	Weight to give the probabilities in set B More...

int	MaxInterestingTokenCount `[get, set]`
	After sorting, this is the maximum number of tokens that are picked to figure out the final probability More...

double	MaxTokenProbability `[get, set]`
	Maximum token probability (if greater than this amount, it becomes this amount) More...

int	MinCountForInclusion `[get, set]`
	Minimum count that an item needs to be found to be included in final probability More...

double	MinTokenProbability `[get, set]`
	Minimum token probability (if less than this amount, it becomes this amount) More...

Bag< T >	SetA `[get]`
	Set A More...

Bag< T >	SetB `[get]`
	Set B More...

ConcurrentDictionary< T, double >	Probabilities `[get]`
	Dictionary containing probabilities More...

double	Total `[get, set]`
	Total number of tokens More...

double	TotalA `[get, set]`
	Total number of tokens in set A More...

double	TotalB `[get, set]`
	Total number of tokens in set B More...

Detailed Description

Naive bayes classifier

Template Parameters

T	The type of the individual tokens

Definition at line 36 of file NaiveBayes.cs.

Constructor & Destructor Documentation

Utilities.DataTypes.AI.NaiveBayes< T >.NaiveBayes	(	int	ATokenWeight = `1`,
		int	BTokenWeight = `1`,
		double	MinTokenProbability = `0.01`,
		double	MaxTokenProbability = `0.999`,
		int	MaxInterestingTokenCount = `int.MaxValue`,
		int	MinCountForInclusion = `1`
	)

Constructor

Parameters

ATokenWeight	Weight of each token in set A
BTokenWeight	Weight of each token in set B
MaxInterestingTokenCount	After sorting, this is the maximum number of tokens that are picked to figure out the final probability
MaxTokenProbability	Maximum token probability
MinTokenProbability	Minimum token probability
MinCountForInclusion	Minimum number of times a token needs to be present for it to be included