////////////////////////////////////////////////////////////////////////
/// \class RAT::Classifiers::OptimisedClassifier
///
/// \brief  All classifiers with optimisers derive from this
///
/// \author Phil G Jones <p.g.jones@qmul.ac.uk>
/// \author Evelina Arushanova <e.arushanova@qmul.ac.uk> -- contact person
/// \author Matt Mottram <m.mottram@qmul.ac.uk> -- contact person
///
/// REVISION HISTORY:\n
///     2013-10-26 : P G Jones - New file. \n
///
/// \details Adds extra optimiser code, and forces definitions of setters
/// for optimised values.
///
////////////////////////////////////////////////////////////////////////

#ifndef __RAT_Classifier_OptimisedClassifier_
#define __RAT_Classifier_OptimisedClassifier_

#include <RAT/Classifier.hh>
#include <RAT/OptimisedComponent.hh>

#include <vector>

namespace RAT
{

namespace Optimisers
{
  class Optimiser;
}

namespace Classifiers
{

//Note virtual inheritance.
class OptimisedClassifier : public OptimisedComponent, public virtual Classifier
{
public:
  /// Constructor
  OptimisedClassifier() {}
  /// Empty virtual destructor
  virtual ~OptimisedClassifier() {}
  /// To set a fit quality FOM
  void SetFOM( const std::string& fomName, const double value ) { fClassifierResult.SetFOM( fomName, value ); }
  /// To retrieve a fit quality FOM
  double GetFOM( const std::string& fomName ) { return fClassifierResult.GetFOM( fomName ); }
  /// Converts the vector of params into the fFitResult
  virtual void SetParams( const std::vector<double>& params ) = 0;
  /// Converts the vector of errors into the fFitResult
  virtual void SetPositiveErrors( const std::vector<double>& errors ) = 0;
  virtual void SetNegativeErrors( const std::vector<double>& errors ) = 0;
};

} //::Classifier

} //::RAT

#endif