The BCC model class. More...

Inheritance diagram for CrowdsourcingModels.BCC:

Public Member Functions
	BCC ()
	Creates a BCC model instance. More...

virtual void	CreateModel (int taskCount, int labelCount)
	Initializes the ranges, the generative process and the inference engine of the BCC model. More...

virtual BCCPosteriors	Infer (int[][] taskIndices, int[][] workerLabels, BCCPosteriors priors)
	Infers the posteriors of BCC using the attached data and priors. More...

Dirichlet[]	GetConfusionMatrixPrior ()
	Returns the confusion matrix prior of each worker. More...

Protected Member Functions
virtual void	DefineVariablesAndRanges (int taskCount, int labelCount)
	Initializes the ranges of the variables. More...

virtual void	DefineGenerativeProcess ()
	Defines the BCC generative process. More...

virtual void	DefineInferenceEngine ()
	Initializes the BCC inference engine. More...

virtual void	SetPriors (int workerCount, BCCPosteriors priors)
	Sets the priors of BCC. More...

virtual void	AttachData (int[][] taskIndices, int[][] workerLabels)
	Attachs the data to the workers labels. More...

virtual void	AttachData (int[][] taskIndices, int[][] workerLabels, Dirichlet[][] confusionMatrixPrior)
	Attachs the data to the workers labels with and sets the workers' confusion matrix priors. More...

Protected Attributes
Range	n

Range	k

Range	c

Range	kn

Variable< int >	WorkerCount

VariableArray< int >	TrueLabel

VariableArray< int >	WorkerTaskCount

VariableArray< VariableArray< int >, int[][]>	WorkerTaskIndex

VariableArray< VariableArray< int >, int[][]>	WorkerLabel

Variable< Vector >	BackgroundLabelProb

VariableArray< VariableArray< Vector >, Vector[][]>	WorkerConfusionMatrix

Variable< bool >	Evidence

Variable< Dirichlet >	BackgroundLabelProbPrior

VariableArray< VariableArray< Dirichlet >, Dirichlet[][]>	ConfusionMatrixPrior

VariableArray< Discrete >	TrueLabelConstraint

Variable< Bernoulli >	EvidencePrior

InferenceEngine	Engine

Properties
int	LabelCount `[get]`
	The number of label values. More...

int	TaskCount `[get]`
	The number of tasks. More...

double	InitialWorkerBelief `[get, set]`

int	NumberOfIterations `[get, set]`
	The number of inference iterations. More...

Detailed Description

The BCC model class.

Constructor & Destructor Documentation

CrowdsourcingModels.BCC.BCC ( )

inline

Creates a BCC model instance.

Member Function Documentation

virtual void CrowdsourcingModels.BCC.AttachData	(	int	taskIndices[][],
		int	workerLabels[][]
	)

inlineprotectedvirtual

Attachs the data to the workers labels.

Parameters

taskIndices	The matrix of the task indices (columns) of each worker (rows).
workerLabels	The matrix of the labels (columns) of each worker (rows).

Reimplemented in CrowdsourcingModels.CBCC.

virtual void CrowdsourcingModels.BCC.AttachData	(	int	taskIndices[][],
		int	workerLabels[][],
		Dirichlet	confusionMatrixPrior[][]
	)

inlineprotectedvirtual

Attachs the data to the workers labels with and sets the workers' confusion matrix priors.

Parameters

taskIndices	The matrix of the task indices (columns) of each worker (rows).
workerLabels	The matrix of the labels (columns) of each worker (rows).
confusionMatrixPrior	The workers' confusion matrix priors.

virtual void CrowdsourcingModels.BCC.CreateModel	(	int	taskCount,
		int	labelCount
	)

inlinevirtual

Initializes the ranges, the generative process and the inference engine of the BCC model.

Parameters

taskCount	The number of tasks.
labelCount	The number of labels.

Reimplemented in CrowdsourcingModels.CBCC.

virtual void CrowdsourcingModels.BCC.DefineGenerativeProcess ( )

inlineprotectedvirtual

Defines the BCC generative process.

Reimplemented in CrowdsourcingModels.CBCC.

virtual void CrowdsourcingModels.BCC.DefineInferenceEngine ( )

inlineprotectedvirtual

Initializes the BCC inference engine.

Reimplemented in CrowdsourcingModels.CBCC.

virtual void CrowdsourcingModels.BCC.DefineVariablesAndRanges	(	int	taskCount,
		int	labelCount
	)

inlineprotectedvirtual

Initializes the ranges of the variables.

Parameters

taskCount	The number of tasks.
labelCount	The number of labels.

Reimplemented in CrowdsourcingModels.CBCC.

Dirichlet [] CrowdsourcingModels.BCC.GetConfusionMatrixPrior ( )

inline

Returns the confusion matrix prior of each worker.

Returns: The confusion matrix prior of each worker.

virtual BCCPosteriors CrowdsourcingModels.BCC.Infer	(	int	taskIndices[][],
		int	workerLabels[][],
		BCCPosteriors	priors
	)

inlinevirtual

Infers the posteriors of BCC using the attached data and priors.

Parameters

taskIndices	The matrix of the task indices (columns) of each worker (rows).
workerLabels	The matrix of the labels (columns) of each worker (rows).
priors	The priors of the BCC parameters.

Returns

Reimplemented in CrowdsourcingModels.CBCC.

virtual void CrowdsourcingModels.BCC.SetPriors	(	int	workerCount,
		BCCPosteriors	priors
	)

inlineprotectedvirtual

Sets the priors of BCC.

Parameters

workerCount	The number of workers.
priors	The priors.

Reimplemented in CrowdsourcingModels.CBCC.

Property Documentation

int CrowdsourcingModels.BCC.LabelCount

get

The number of label values.

int CrowdsourcingModels.BCC.NumberOfIterations

getset

The number of inference iterations.

int CrowdsourcingModels.BCC.TaskCount

get

The number of tasks.

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

C:/Users/Matteo/Source/Repos/active-crowd/CrowdsourcingModels/BCC.cs

Public Member Functions

Protected Member Functions

Protected Attributes

Properties

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation

Property Documentation