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Likelihood.hpp
Go to the documentation of this file.
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#pragma once
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#include "
Data.hpp
"
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class
Likelihood
{
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protected
:
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const
Data
&
data
;
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public
:
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Likelihood
(
const
Data
&
data
) :
data
(
data
) {}
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virtual
double
cluster_loglikelihood
(
int
cluster_index)
const
= 0;
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virtual
double
cluster_loglikelihood
(
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int
cluster_index,
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const
Eigen::Ref<const Eigen::VectorXi> &cls_ass_k)
const
= 0;
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virtual
double
clusters_loglikelihood
(
int
c1,
int
c2)
const
{
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return
cluster_loglikelihood
(c1) +
cluster_loglikelihood
(c2);
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}
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virtual
double
point_loglikelihood_cond
(
int
point_index,
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int
cluster_index)
const
= 0;
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virtual
~Likelihood
() =
default
;
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};
Data.hpp
Data structure for managing point distances and cluster allocations.
Data
Manages distance matrices and cluster allocations for points.
Definition
Data.hpp:26
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::data
const Data & data
Reference to Data object with distances and allocations.
Definition
Likelihood.hpp:28
Likelihood::Likelihood
Likelihood(const Data &data)
Definition
Likelihood.hpp:31
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::clusters_loglikelihood
virtual double clusters_loglikelihood(int c1, int c2) const
Computes the joint log-likelihood for two clusters.
Definition
Likelihood.hpp:62
BNPClust
utils
Likelihood.hpp
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