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src
shogun
machine
LinearLatentMachine.h
Go to the documentation of this file.
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/*
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* This program is free software; you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation; either version 3 of the License, or
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* (at your option) any later version.
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*
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* Written (W) 2012 Viktor Gal
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* Copyright (C) 2012 Viktor Gal
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*/
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#ifndef __LATENTLINEARMACHINE_H__
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#define __LATENTLINEARMACHINE_H__
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#include <
shogun/lib/common.h
>
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#include <
shogun/machine/LinearMachine.h
>
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#include <
shogun/latent/LatentModel.h
>
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namespace
shogun
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{
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class
CLinearLatentMachine
:
public
CLinearMachine
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{
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public
:
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MACHINE_PROBLEM_TYPE
(
PT_LATENT
);
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CLinearLatentMachine
();
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CLinearLatentMachine
(
CLatentModel
* model,
float64_t
C);
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virtual
~CLinearLatentMachine
();
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virtual
CLatentLabels
*
apply_latent
() = 0;
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virtual
CLatentLabels
*
apply_latent
(
CFeatures
* data);
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virtual
const
char
*
get_name
()
const
{
return
"LinearLatentMachine"
; }
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inline
void
set_epsilon
(
float64_t
eps) {
m_epsilon
=eps; }
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inline
float64_t
get_epsilon
() {
return
m_epsilon
; }
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inline
void
set_C
(
float64_t
c)
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{
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m_C
=c;
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}
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inline
float64_t
get_C
() {
return
m_C
; }
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inline
void
set_max_iterations
(int32_t iter) {
m_max_iter
= iter; }
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inline
int32_t
get_max_iterations
() {
return
m_max_iter
; }
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void
set_model
(
CLatentModel
* latent_model);
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protected
:
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virtual
bool
train_machine
(
CFeatures
* data=NULL);
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virtual
void
cache_psi_vectors
();
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virtual
float64_t
do_inner_loop
(
float64_t
cooling_eps)=0;
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virtual
bool
train_require_labels
()
const
{
return
false
; }
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protected
:
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CLatentModel
*
m_model
;
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float64_t
m_C
;
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float64_t
m_epsilon
;
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int32_t
m_max_iter
;
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private
:
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void
init();
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};
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}
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#endif
/* __LATENTLINEARMACHINE_H__ */
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SHOGUN
Machine Learning Toolbox - Documentation