classformatdataset.h

强化学习算法（R-Learning）难得的珍贵资料

// Copyright (C) 2003 Ronan Collobert ([e-mail])
//                
// This file is part of Torch 3.
//
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// modification, are permitted provided that the following conditions
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#ifndef CLASS_FORMAT_DATA_SET_INC
#define CLASS_FORMAT_DATA_SET_INC

#include "DataSet.h"

namespace Torch {

/** Given a DataSet, convert (on-the-fly) targets using a conversion table.

    The targets of the given DataSet should be 0,1,2... for the class 0, class 1,
    class 2, and so on. Note that is must START AT 0.

    After a setExample(), the inputs of this DataSet will be the same as
    the provided one. The targets will be #class_labels->frames[i]#, where #i#
    is contained in the targets of the provided DataSet.

    @author Ronan Collobert ([e-mail])
 */
class ClassFormatDataSet : public DataSet
{
  public:
    /// The provided DataSet.
    DataSet *data;

    /// The class label translation table.
    Sequence *class_labels;

    /// Here you provide the translation table in #class_labels_#.
    ClassFormatDataSet(DataSet *data_, Sequence *class_labels_);

    /** We assume here that you want the one-hot encoding format.
        The number of classes is given by #n_classes#, if positive.
        Otherwise, the number of classes is guessed by taking the
        maximum value of the targets of the provided DataSet.
    */
    ClassFormatDataSet(DataSet *data_, int n_classes=-1);
    
    virtual void getNumberOfFrames(int t_, int *n_input_frames_, int *n_target_frames_);
    virtual void setRealExample(int t, bool set_inputs=true, bool set_targets=true);
    virtual void preProcess(PreProcessing *pre_processing);
    virtual void pushExample();
    virtual void popExample();

    //-----

    virtual ~ClassFormatDataSet();
};

}

#endif