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src
shogun
classifier
vw
vw_math.cpp
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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* 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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#include <
shogun/classifier/vw/vw_math.h
>
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namespace
shogun
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{
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float32_t
sd_offset_add
(
float32_t
* weights,
vw_size_t
mask,
VwFeature
* begin,
VwFeature
* end,
vw_size_t
offset)
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{
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float32_t
ret = 0.;
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for
(
VwFeature
* f = begin; f!= end; f++)
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ret += weights[(f->weight_index + offset) & mask] * f->x;
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return
ret;
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}
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float32_t
sd_offset_truncadd
(
float32_t
* weights,
vw_size_t
mask,
VwFeature
* begin,
VwFeature
* end,
vw_size_t
offset,
float32_t
gravity)
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{
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float32_t
ret = 0.;
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for
(
VwFeature
* f = begin; f!= end; f++)
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{
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float32_t
w = weights[(f->weight_index+offset) & mask];
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float32_t
wprime =
real_weight
(w,gravity);
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ret += wprime*f->x;
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}
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return
ret;
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}
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float32_t
one_pf_quad_predict
(
float32_t
* weights,
VwFeature
& f,
v_array<VwFeature>
&cross_features,
vw_size_t
mask)
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{
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vw_size_t
halfhash =
quadratic_constant
* f.
weight_index
;
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return
f.
x
*
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sd_offset_add
(weights, mask, cross_features.
begin
, cross_features.
end
, halfhash);
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}
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float32_t
one_pf_quad_predict_trunc
(
float32_t
* weights,
VwFeature
& f,
v_array<VwFeature>
&cross_features,
vw_size_t
mask,
float32_t
gravity)
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{
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vw_size_t
halfhash =
quadratic_constant
* f.
weight_index
;
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return
f.
x
*
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sd_offset_truncadd
(weights, mask, cross_features.
begin
, cross_features.
end
, halfhash, gravity);
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}
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}
SHOGUN
Machine Learning Toolbox - Documentation