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LogLossMargin.h
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1 /*
2  * This program is free software; you can redistribute it and/or modify
3  * it under the terms of the GNU General Public License as published by
4  * the Free Software Foundation; either version 3 of the License, or
5  * (at your option) any later version.
6  *
7  * Written (W) 2011 Shashwat Lal Das
8  * Written (W) 2012 Fernando José Iglesias García
9  * Copyright (c) 2011 Berlin Institute of Technology and Max-Planck-Society.
10  */
11 
12 #ifndef _LOGLOSSMARGIN_H__
13 #define _LOGLOSSMARGIN_H__
14 
15 #include <shogun/lib/config.h>
16 
18 
19 namespace shogun
20 {
25 {
26 public:
31 
36 
45 
54 
63 
74  virtual float64_t get_update(float64_t prediction, float64_t label, float64_t eta_t, float64_t norm);
75 
84  virtual float64_t get_square_grad(float64_t prediction, float64_t label);
85 
91  virtual ELossType get_loss_type() { return L_LOGLOSSMARGIN; }
92 
93  virtual const char* get_name() const { return "LogLossMargin"; }
94 };
95 
96 }
97 
98 #endif
double norm(double *v, double p, int n)
Definition: epph.cpp:452
Class CLossFunction is the base class of all loss functions.
Definition: LossFunction.h:57
float64_t second_derivative(float64_t z)
float64_t loss(float64_t z)
virtual ELossType get_loss_type()
Definition: LogLossMargin.h:91
double float64_t
Definition: common.h:50
float64_t first_derivative(float64_t z)
virtual float64_t get_update(float64_t prediction, float64_t label, float64_t eta_t, float64_t norm)
all of classes and functions are contained in the shogun namespace
Definition: class_list.h:18
virtual float64_t get_square_grad(float64_t prediction, float64_t label)
virtual const char * get_name() const
Definition: LogLossMargin.h:93
Class CLogLossMargin implements a margin-based log-likelihood loss function.
Definition: LogLossMargin.h:24
ELossType
shogun loss type
Definition: LossFunction.h:28

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