contrib/mul/mfpf/mfpf_ssd_vec_cost_builder.h

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#ifndef mfpf_ssd_vec_cost_builder_h_
#define mfpf_ssd_vec_cost_builder_h_
//:
// \file
// \brief Builder for mfpf_ssd_vec_cost objects.
// \author Tim Cootes

#include <mfpf/mfpf_vec_cost_builder.h>
#include <vnl/vnl_vector.h>
#include <vcl_iosfwd.h>
#include <vcl_vector.h>

//: Builder for mfpf_ssd_vec_cost objects.
//  Computes mean and weights given the training data.
//  Currently uses the mean absolute difference to estimate the 
//  weights (rather than variance, which is not so robust).
class mfpf_ssd_vec_cost_builder : public mfpf_vec_cost_builder
{
 private:
  //: Minimum variance allowed
  double min_var_;

  //: Space to record examples
  vcl_vector<vnl_vector<double> > data_;

  //: Define default values
  void set_defaults();
 public:

  // Dflt ctor
  mfpf_ssd_vec_cost_builder();

  // Destructor
  virtual ~mfpf_ssd_vec_cost_builder();


  //: Create new mfpf_ssd_vec_cost on heap
  virtual mfpf_vec_cost* new_cost() const;

  //: Initialise building
  // Must be called before any calls to add_example(...)
  virtual void clear(unsigned n_egs);

  //: Add one example to the model
  virtual void add_example(const vnl_vector<double>& v);

  //: Build object from the data supplied in add_example()
  virtual void build(mfpf_vec_cost&);

  //: Initialise from a string stream
  virtual bool set_from_stream(vcl_istream &is);

  //: Name of the class
  virtual vcl_string is_a() const;

  //: Create a copy on the heap and return base class pointer
  virtual mfpf_vec_cost_builder* clone() const;

  //: Print class to os
  virtual void print_summary(vcl_ostream& os) const;

  //: Version number for I/O
  short version_no() const;

  //: Save class to binary file stream
  virtual void b_write(vsl_b_ostream& bfs) const;

  //: Load class from binary file stream
  virtual void b_read(vsl_b_istream& bfs);
};

#endif // mfpf_ssd_vec_cost_builder_h_