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// Copyright (C) 2002 Ronan Collobert (collober@iro.umontreal.ca)
//
//
// This file is part of Torch. Release II.
// [The Ultimate Machine Learning Library]
//
// Torch is free software; you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation; either version 2 of the License, or
// (at your option) any later version.
//
// Torch is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with Torch; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
#ifndef STD_DATA_SET_INC
#define STD_DATA_SET_INC
#include "EuclideanDataSet.h"
#include "normalize.h"
namespace Torch {
/** Standard Data Set.
DataSet with a vector of reals for inputs,
and a vector of real for targets.
This DataSet support normalization with mean/variance.
Options:
\begin{tabular}{lcll}
"normalize inputs" & bool & normalize the inputs by mean/stdv & [false]\\
"normalize targets" & bool & normalize the targets by mean/stdv & [false]
\end{tabular}
@author Ronan Collobert (collober@iro.umontreal.ca)
*/
class StdDataSet : public EuclideanDataSet
{
public:
/// The inputs table.
real **all_inputs;
/// The targets table.
real **all_targets;
bool norm_inputs;
bool norm_targets;
real *mean_i;
real *mean_o;
real *stdv_i;
real *stdv_o;
//-----
///
StdDataSet();
/** Normalize the #StdDataSet# using the normalization values
of another #StdDataSet#. If the other dataset is not normalize,
nothing will be done.
Call it AFTER #init()#.
*/
virtual void normalizeUsingDataSet(StdDataSet *data_norm);
/** Set the inputs and the targets to a user tabular
#n_dim# is the dimension of inputs vectors
#n_targets_# is the dimension of targets vectors.
Call them BEFORE #init()#.
*/
void setInputs(real **data_, int n_dim, int n_examples_);
///
void setTargets(real **y_, int n_targets_);
/// Load the normalization parameters
virtual void loadFILE(FILE *file);
/// Save the normalization parameters
virtual void saveFILE(FILE *file);
//-----
virtual void setRealExample(int t);
virtual real realRealDotProduct(int i, int j);
virtual real realDotProduct(int i, List *y);
virtual real dotProduct(List *x, List *y);
//-----
virtual void init();
virtual void normalize();
virtual ~StdDataSet();
};
}
#endif
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