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FuncLinearModel.hpp
1 /*
2  * FuncLinearModel.hpp
3  *
4  * Copyright 2018 Fernando Pujaico Rivera <fernando.pujaico.rivera@gmail.com>
5  *
6  * This program is free software; you can redistribute it and/or modify
7  * it under the terms of the GNU General Public License as published by
8  * the Free Software Foundation; either version 2 of the License, or
9  * (at your option) any later version.
10  *
11  * This program is distributed in the hope that it will be useful,
12  * but WITHOUT ANY WARRANTY; without even the implied warranty of
13  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
14  * GNU General Public License for more details.
15  *
16  * You should have received a copy of the GNU General Public License
17  * along with this program; if not, write to the Free Software
18  * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston,
19  * MA 02110-1301, USA.
20  *
21  */
22 
30 #ifndef __PDS_FUNCLINEARMODEL_HPP__
31 #define __PDS_FUNCLINEARMODEL_HPP__
32 
33 #include <string>
34 #include <list>
35 #include <Pds/Ra>
36 #include <Pds/IterationConf>
37 
47 namespace Pds{
48 
52 namespace LinearModel{
53 
54 
71 Pds::Vector Predict(const Pds::Vector &W,const Pds::Matrix &X);
72 
73 
107 double CostMeanSquare(const Pds::Vector &W,const Pds::Matrix &X,const Pds::Vector &Y);
108 
131 double CostMeanAbsolute(const Pds::Vector &W,const Pds::Matrix &X,const Pds::Vector &Y);
132 
156 double CostMape(const Pds::Vector &W,const Pds::Matrix &X,const Pds::Vector &Y);
157 
158 
197  const Pds::Matrix &X,
198  const Pds::Vector &Y);
199 
217 Pds::Vector FittingNormalMeanSquare( const Pds::Matrix &X,
218  const Pds::Vector &Y);
219 
220 
221 
273  const Pds::Matrix &X,
274  const Pds::Vector &Y,
275  const Pds::Vector &D);
276 
318 Pds::Vector FittingNormalMeanSquare( const Pds::Matrix &X,
319  const Pds::Vector &Y,
320  const Pds::Vector &D);
321 
322 
361  const Pds::Matrix &X,
362  const Pds::Vector &Y,
363  unsigned int N=1);
364 
391 Pds::Vector FittingRobustBisquare( const Pds::Matrix &X,
392  const Pds::Vector &Y,
393  unsigned int N=1);
401 } // namespace Ml
402 
403 } // namespace Pds
404 
405 
410 #endif /* __PDS_FUNCLOGISTICMODEL_HPP__ */
La clase tipo Pds::IterationConf . Esta clase genera una matriz de Nlin lineas y 1 columna....
Pds::Vector Predict(const Pds::Vector &W, const Pds::Matrix &X)
Calculo del resultado del predictor.
double CostMape(const Pds::Vector &W, const Pds::Matrix &X, const Pds::Vector &Y)
Calculo el costo.
double CostMeanSquare(const Pds::Vector &W, const Pds::Matrix &X, const Pds::Vector &Y)
Calculo el costo.
double CostMeanAbsolute(const Pds::Vector &W, const Pds::Matrix &X, const Pds::Vector &Y)
Calculo el costo.
Pds::Vector FittingRobustBisquare(Pds::IterationConf &Conf, const Pds::Matrix &X, const Pds::Vector &Y, unsigned int N=1)
Calculo de pesos.
Pds::Vector FittingNormalMeanSquare(Pds::IterationConf &Conf, const Pds::Matrix &X, const Pds::Vector &Y)
Calculo de pesos.
Nombre de espacio para Pds (Procesamiento Digital de Senales)

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