The CBCC model class. More...

Inheritance diagram for CrowdsourcingModels.CBCC:

Public Member Functions
void	SetCommunityCount (int CommunityCount)

	CBCC ()
	Creates a CBCC model instance. More...

override void	CreateModel (int taskCount, int labelCount)
	Initializes the CBCC model. More...

virtual void	CreateModel (int taskCount, int labelCount, int communityCount)
	Initializes the CBCC model with a number of communities. More...

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

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

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

Protected Member Functions
override void	DefineVariablesAndRanges (int taskCount, int labelCount)
	Defines the variables and the ranges of CBCC. More...

override void	DefineGenerativeProcess ()
	Defines the generative process of CBCC. More...

override void	DefineInferenceEngine ()
	Initializes the CBCC inference engine. More...

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

void	AttachData (int[][] taskIndices, int[][] workerLabels, VectorGaussian[][] scoreConstraint, Discrete[] communityConstraint)
	Attachs the data to the workers labels and sets the constraints on the community score matrices and the community memberships (used for online training). More...

override void	SetPriors (int workerCount, BCCPosteriors priors)
	Sets the priors of CBCC. More...

Protected Member Functions inherited from CrowdsourcingModels.BCC
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	m

VariableArray< int >	Community

VariableArray< Discrete >	CommunityInit

Variable< Vector >	CommunityProb

VariableArray< VariableArray< Vector >, Vector[][]>	ScoreMatrix

VariableArray< VariableArray< Vector >, Vector[][]>	CommunityScoreMatrix

VariableArray< VariableArray< Vector >, Vector[][]>	CommunityConfusionMatrix

Variable< PositiveDefiniteMatrix >	NoiseMatrix = Variable.New<PositiveDefiniteMatrix>().Named("NoiseMatrix")

VariableArray< Discrete >	CommunityConstraint

VariableArray< VariableArray< VectorGaussian >, VectorGaussian[][]>	ScoreMatrixConstraint

VariableArray< VariableArray< VectorGaussian >, VectorGaussian[][]>	CommunityScoreMatrixPrior

Variable< Dirichlet >	CommunityProbPrior

Protected Attributes inherited from CrowdsourcingModels.BCC
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
double	NoisePrecision `[get, set]`
	The noise precision that generates the workers score matrix from the communities score matrix. More...

int	CommunityCount `[get, protected set]`
	The number of communities. More...

Tuple< double, double >[]	ScoreMeanParameters `[get, set]`
	The mean vector of the Gaussian distribution generating the community score matrices. More...

double[]	ScorePrecisionParameters `[get, set]`
	The precision matrix of the Gaussian distribution generating the community score matrices. More...

double	CommunityPseudoCount `[get, set]`
	The hyperparameter governing community membership. More...

VectorGaussian[][]	CommunityScoreMatrixPriorObserved `[get, protected set]`
	The prior for the score matrices. More...

Dirichlet	CommunityProbPriorObserved `[get, protected set]`
	The prior for community membership. More...

Properties inherited from CrowdsourcingModels.BCC
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 CBCC model class.

Constructor & Destructor Documentation

CrowdsourcingModels.CBCC.CBCC ( )

inline

Creates a CBCC model instance.

Member Function Documentation

override void CrowdsourcingModels.CBCC.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 from CrowdsourcingModels.BCC.

void CrowdsourcingModels.CBCC.AttachData	(	int	taskIndices[][],
		int	workerLabels[][],
		VectorGaussian	scoreConstraint[][],
		Discrete[]	communityConstraint
	)

inlineprotected

Attachs the data to the workers labels and sets the constraints on the community score matrices and the community memberships (used for online training).

Parameters

taskIndices	The matrix of the task indices (columns) of each worker (rows).
workerLabels	The matrix of the labels (columns) of each worker (rows).
scoreConstraint	The constraint of the community score matrices.
communityConstraint	The constraint of the workers community membership.

override void CrowdsourcingModels.CBCC.CreateModel	(	int	taskCount,
		int	labelCount
	)

inlinevirtual

Initializes the CBCC model.

Parameters

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

Reimplemented from CrowdsourcingModels.BCC.

virtual void CrowdsourcingModels.CBCC.CreateModel	(	int	taskCount,
		int	labelCount,
		int	communityCount
	)

inlinevirtual

Initializes the CBCC model with a number of communities.

Parameters

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

override void CrowdsourcingModels.CBCC.DefineGenerativeProcess ( )

inlineprotectedvirtual

Defines the generative process of CBCC.

Reimplemented from CrowdsourcingModels.BCC.

override void CrowdsourcingModels.CBCC.DefineInferenceEngine ( )

inlineprotectedvirtual

Initializes the CBCC inference engine.

Reimplemented from CrowdsourcingModels.BCC.

override void CrowdsourcingModels.CBCC.DefineVariablesAndRanges	(	int	taskCount,
		int	labelCount
	)

inlineprotectedvirtual

Defines the variables and the ranges of CBCC.

Parameters

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

Reimplemented from CrowdsourcingModels.BCC.

override BCCPosteriors CrowdsourcingModels.CBCC.Infer	(	int	taskIndices[][],
		int	workerLabels[][],
		BCCPosteriors	priors
	)

inlinevirtual

Infers the posteriors of CBCC using the attached data.

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.

Returns

Reimplemented from CrowdsourcingModels.BCC.

override void CrowdsourcingModels.CBCC.SetPriors	(	int	workerCount,
		BCCPosteriors	priors
	)

inlineprotectedvirtual

Sets the priors of CBCC.

Parameters

workerCount	The number of workers.
priors	The priors.

Reimplemented from CrowdsourcingModels.BCC.

Property Documentation

int CrowdsourcingModels.CBCC.CommunityCount

getprotected set

The number of communities.

Dirichlet CrowdsourcingModels.CBCC.CommunityProbPriorObserved

getprotected set

The prior for community membership.

double CrowdsourcingModels.CBCC.CommunityPseudoCount

getset

The hyperparameter governing community membership.

VectorGaussian [][] CrowdsourcingModels.CBCC.CommunityScoreMatrixPriorObserved

getprotected set

The prior for the score matrices.

double CrowdsourcingModels.CBCC.NoisePrecision

getset

The noise precision that generates the workers score matrix from the communities score matrix.

Tuple<double, double> [] CrowdsourcingModels.CBCC.ScoreMeanParameters

getset

The mean vector of the Gaussian distribution generating the community score matrices.

double [] CrowdsourcingModels.CBCC.ScorePrecisionParameters

getset

The precision matrix of the Gaussian distribution generating the community score matrices.

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

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

Public Member Functions

Protected Member Functions

Protected Attributes

Properties

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation

Property Documentation