Null_likelihood Class Reference

LogLikelihood equal to 1 to ignore data contribution and focus on prior. More...

#include <Null_likelihood.hpp>

Inheritance diagram for Null_likelihood:

Public Member Functions
	Null_likelihood (const Data &data, const Params &param)
double	cluster_loglikelihood (int cluster_index) const override final
	Computes the full log-likelihood for a cluster.
double	cluster_loglikelihood (int cluster_index, const Eigen::Ref< const Eigen::VectorXi > &cls_ass_k) const override final __attribute__((hot))
	Computes the full log-likelihood for a cluster with given assignments.
double	point_loglikelihood_cond (int point_index, int cluster_index) const override final __attribute__((hot))
	Computes the conditional log-likelihood of a point given a cluster.
Public Member Functions inherited from Likelihood
	Likelihood (const Data &data, const Params &param)
virtual	~Likelihood ()=default

Additional Inherited Members
Protected Attributes inherited from Likelihood
const Data &	data
	Reference to Data object with distances and allocations.
const Params &	params
	Reference to model parameters.

Detailed Description

LogLikelihood equal to 1 to ignore data contribution and focus on prior.

Constructor & Destructor Documentation

Null_likelihood()

Null_likelihood::Null_likelihood ( const Data & data, const Params & param )

inline

Member Function Documentation

cluster_loglikelihood() [1/2]

double Null_likelihood::cluster_loglikelihood ( int cluster_index ) const

inlinefinaloverridevirtual

Computes the full log-likelihood for a cluster.

Parameters

cluster_index

Index of the cluster to evaluate

Returns

Total log-likelihood (cohesion + repulsion)

This method computes both the within-cluster cohesion and the between-cluster repulsion contributions for the specified cluster.

Implements Likelihood.

cluster_loglikelihood() [2/2]

double Null_likelihood::cluster_loglikelihood ( int cluster_index, const Eigen::Ref< const Eigen::VectorXi > & cls_ass_k ) const

inlinefinaloverridevirtual

Computes the full log-likelihood for a cluster with given assignments.

Parameters

cluster_index	Index of the cluster to evaluate
cls_ass_k	Vector of point indices in the cluster

Returns

Total log-likelihood (cohesion + repulsion)

This overload allows computing the likelihood with a custom set of cluster assignments without modifying the data structure.

Implements Likelihood.

point_loglikelihood_cond()

double Null_likelihood::point_loglikelihood_cond ( int point_index, int cluster_index ) const

inlinefinaloverridevirtual

Computes the conditional log-likelihood of a point given a cluster.

Parameters

point_index	Index of the point to evaluate
cluster_index	Index of the target cluster

Returns

Conditional log-likelihood of assigning the point to the cluster

This method evaluates how well a point fits into a specific cluster, considering both its cohesion with points in that cluster and its repulsion from points in other clusters.

Implements Likelihood.

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

• src/likelihoods/Null_likelihood.hpp