BNPClust/Likelihood_8hpp_source.html

#pragma once


#include "Data.hpp"

#include "Params.hpp"


class Likelihood {

protected:

    const Data &data;

    const Params &params;


public:

    Likelihood(const Data &data, const Params &param) : data(data), params(param) {}


    virtual double cluster_loglikelihood(int cluster_index) const = 0;


    virtual double cluster_loglikelihood(int cluster_index,

                                         const Eigen::Ref<const Eigen::VectorXi> &cls_ass_k) const = 0;


    virtual double point_loglikelihood_cond(int point_index, int cluster_index) const = 0;


    virtual ~Likelihood() = default;

};


Data.hpp
Data structure for managing point distances and cluster allocations.

Params.hpp
Parameter management for Bayesian nonparametric MCMC models.

Data
Manages distance matrices and cluster allocations for points.
Definition Data.hpp:27

Likelihood::point_loglikelihood_cond
virtual double point_loglikelihood_cond(int point_index, int cluster_index) const =0
Conditional log-likelihood of a point in a particular cluster.

Likelihood::Likelihood
Likelihood(const Data &data, const Params &param)
Definition Likelihood.hpp:33

Likelihood::data
const Data & data
Reference to Data object with distances and allocations.
Definition Likelihood.hpp:29

Likelihood::cluster_loglikelihood
virtual double cluster_loglikelihood(int cluster_index, const Eigen::Ref< const Eigen::VectorXi > &cls_ass_k) const =0
Computes the log-likelihood for a cluster with given assignments.

Likelihood::~Likelihood
virtual ~Likelihood()=default

Likelihood::cluster_loglikelihood
virtual double cluster_loglikelihood(int cluster_index) const =0
Computes the log-likelihood for a cluster.

Likelihood::params
const Params & params
Reference to model parameters.
Definition Likelihood.hpp:30

Params
Structure containing all parameters needed for the NGGP (Normalized Generalized Gamma Process) and DP...
Definition Params.hpp:35