ldaplusplus::em::SemiSupervisedMStep< Scalar > Class Template Reference

#include <SemiSupervisedMStep.hpp>

Inheritance diagram for ldaplusplus::em::SemiSupervisedMStep< Scalar >:

Public Member Functions
	SemiSupervisedMStep (size_t m_step_iterations=10, Scalar m_step_tolerance=1e-2, Scalar regularization_penalty=1e-2)
virtual void	doc_m_step (const std::shared_ptr< corpus::Document > doc, const std::shared_ptr< parameters::Parameters > v_parameters, std::shared_ptr< parameters::Parameters > m_parameters) override
Public Member Functions inherited from ldaplusplus::em::FastSupervisedMStep< Scalar >
	FastSupervisedMStep (size_t m_step_iterations=10, Scalar m_step_tolerance=1e-2, Scalar regularization_penalty=1e-2)
virtual void	m_step (std::shared_ptr< parameters::Parameters > parameters) override
Public Member Functions inherited from ldaplusplus::events::EventDispatcherComposition
std::shared_ptr< EventDispatcherInterface >	get_event_dispatcher ()
void	set_event_dispatcher (std::shared_ptr< EventDispatcherInterface > dispatcher)

Detailed Description

template<typename Scalar>
class ldaplusplus::em::SemiSupervisedMStep< Scalar >

SemiSupervisedMStep passes the documents to either FastSupervisedMStep::doc_m_step or UnsupervisedMStep::doc_m_step depending on whether the document's class is a non negative integer.

The bad choice of inheritance over composition is also evident in this implementation although it does result in the minimum code written to implement SemiSupervisedMStep.

Constructor & Destructor Documentation

template<typename Scalar >

ldaplusplus::em::SemiSupervisedMStep< Scalar >::SemiSupervisedMStep ( size_t  m_step_iterations = 10, Scalar  m_step_tolerance = 1e-2, Scalar  regularization_penalty = 1e-2  )

inline

Parameters

m_step_iterations	The maximum number of gradient descent iterations
m_step_tolerance	The minimum relative improvement between consecutive gradient descent iterations
regularization_penalty	The L2 penalty for logistic regression

Member Function Documentation

template<typename Scalar >

void ldaplusplus::em::SemiSupervisedMStep< Scalar >::doc_m_step ( const std::shared_ptr< corpus::Document >  doc, const std::shared_ptr< parameters::Parameters >  v_parameters, std::shared_ptr< parameters::Parameters >  m_parameters  )

overridevirtual

Delegate to either FastSupervisedMStep or UnsupervisedMStep based on whether the document has a class.

Parameters

doc	A single document
v_parameters	The variational parameters used in m-step in order to maximize model parameters
m_parameters	Model parameters, used as output in case of online methods

Reimplemented from ldaplusplus::em::FastSupervisedMStep< Scalar >.

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

• include/ldaplusplus/em/SemiSupervisedMStep.hpp
• src/ldaplusplus/em/SemiSupervisedMStep.cpp