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ug_sampling_bias.h « mm « UG « TranslationModel « moses - github.com/moses-smt/mosesdecoder.git - Unnamed repository; edit this file 'description' to name the repository.
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// -*- c++ -*-
#pragma once

#include <map>
#include<vector>
#include <string>
#include <iostream>
#include "moses/Util.h"
#include "ug_typedefs.h"
namespace Moses
{
  namespace bitext
  {
    using ugdiss::id_type;

    std::string query_bias_server(std::string const& url, std::string const& text);

    class SamplingBias
    {
    public:
      int loglevel;
      std::ostream* log;
      std::map<std::string, float> m_bias_map; //Map to store the biasmap as you get it from the server
      std::map<std::string, float>& getBiasMap();
      virtual float
      operator[](id_type const ID) const = 0;
      // returns (unnormalized bias) for the class of item ID

      virtual size_t size() const = 0;
      // number of classes

      virtual id_type
      GetClass(id_type const ID) const = 0;
      // returns class of item ID
    };

    class
    DocumentBias : public SamplingBias
    {
      std::vector<id_type> const& m_sid2docid;
      std::vector<float> m_bias;
      // std::map<int,float> m_bias;

    public:

      DocumentBias(std::vector<id_type> const& sid2doc,
		   std::map<std::string,id_type> const& docname2docid,
		   std::string const& server_url, std::string const& text,
		   std::ostream* log);

      DocumentBias(std::vector<id_type> const& sid2doc,
                   std::map<std::string,id_type> const& docname2docid,
                   std::map<std::string, float> const& context_weights,
                   std::ostream* log);

      void
      init_from_json
      ( std::string const& json,
	std::map<std::string,id_type> const& docname2docid,
	std::ostream* log );

      void
      init
      ( std::map<std::string,float> const& biasmap,
	std::map<std::string,id_type> const& docname2docid);

      id_type
      GetClass(id_type const idx) const;

      float
      operator[](id_type const idx) const;

      size_t
      size() const;
    };

    class
    SentenceBias : public SamplingBias
    {
      std::vector<float> m_bias;
    public:
      SentenceBias(std::vector<float> const& bias);
      SentenceBias(size_t const s);

      id_type GetClass(id_type idx) const;

      float& operator[](id_type const idx);
      float  operator[](id_type const idx) const;
      size_t size() const;

    };

  }
}