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src
shogun
classifier
vw
VwRegressor.h
Go to the documentation of this file.
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/*
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* Copyright (c) 2009 Yahoo! Inc. All rights reserved. The copyrights
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* embodied in the content of this file are licensed under the BSD
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* (revised) open source license.
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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) 2011 Shashwat Lal Das
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* Adaptation of Vowpal Wabbit v5.1.
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* Copyright (C) 2011 Berlin Institute of Technology and Max-Planck-Society.
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*/
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#ifndef _VW_REGRESSOR_H__
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#define _VW_REGRESSOR_H__
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#include <
shogun/base/SGObject.h
>
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#include <
shogun/lib/DataType.h
>
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#include <
shogun/classifier/vw/VwEnvironment.h
>
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#include <
shogun/loss/LossFunction.h
>
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namespace
shogun
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{
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class
CVwRegressor
:
public
CSGObject
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{
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public
:
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CVwRegressor
();
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CVwRegressor
(
CVwEnvironment
* env_to_use);
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virtual
~CVwRegressor
();
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inline
float64_t
get_loss
(
float64_t
prediction,
float64_t
label)
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{
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return
loss
->
loss
(prediction, label);
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}
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inline
float64_t
get_update
(
float64_t
prediction,
float64_t
label,
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float64_t
eta_t,
float64_t
norm
)
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{
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return
loss
->
get_update
(prediction, label, eta_t, norm);
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}
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virtual
void
dump_regressor
(
char
* reg_name,
bool
as_text);
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virtual
void
load_regressor
(
char
* file_name);
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virtual
const
char
*
get_name
()
const
{
return
"VwRegressor"
; }
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virtual
void
init(
CVwEnvironment
* env_to_use = NULL);
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public
:
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float32_t
**
weight_vectors
;
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CLossFunction
*
loss
;
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protected
:
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CVwEnvironment
*
env
;
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};
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}
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#endif // _VW_REGRESSOR_H__
SHOGUN
Machine Learning Toolbox - Documentation