Dirichlet_inl.h

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 *       - Christophe GONZALES(_at_AMU)                                     *
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 *       - Pierre-Henri WUILLEMIN(_at_LIP6)                                 *
 *       - Christophe GONZALES(_at_AMU)                                     *
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#pragma once

 
namespace gum {
 
  // default constructor
  INLINE Dirichlet::Dirichlet(const param_type& params) : _params_(params) {
    GUM_CONSTRUCTOR(Dirichlet);
  }
 
  // copy constructor
  INLINE Dirichlet::Dirichlet(const Dirichlet& from) :
      _gamma_(from._gamma_), _params_(from._params_) {
    GUM_CONS_CPY(Dirichlet);
  }
 
  // move constructor
  INLINE Dirichlet::Dirichlet(Dirichlet&& from) :
      _gamma_(std::move(from._gamma_)), _params_(std::move(from._params_)) {
    GUM_CONS_MOV(Dirichlet);
  }
 
  // destructor
  INLINE Dirichlet::~Dirichlet() {
    GUM_DESTRUCTOR(Dirichlet);
    ;
  }
 
  // copy operator
  INLINE Dirichlet& Dirichlet::operator=(const Dirichlet& from) {
    if (&from != this) {
      _gamma_  = from._gamma_;
      _params_ = from._params_;
    }
    return *this;
  }
 
  // move operator
  INLINE Dirichlet& Dirichlet::operator=(Dirichlet&& from) {
    if (&from != this) {
      _gamma_  = std::move(from._gamma_);
      _params_ = std::move(from._params_);
    }
    return *this;
  }
 
  // returns a sample from the Dirichlet distribution
  INLINE Dirichlet::result_type Dirichlet::operator()() {
    Size        size = Size(_params_.size());
    result_type res(size);
    float       sum = 0.0f;
    while (sum == 0.0f) {
      for (Idx i = 0; i < size; ++i) {
        _gamma_.param(std::gamma_distribution< float >::param_type(_params_[i], 1));
        res[i] = _gamma_(gum::randomGenerator());
        sum += res[i];
      }
    }
    for (Idx i = 0; i < size; ++i) {
      res[i] /= sum;
    }
    return res;
  }
 
  // returns a sample from the Dirichlet distribution
  INLINE Dirichlet::result_type Dirichlet::operator()(const Dirichlet::param_type& parm) {
    Size        size = Size(parm.size());
    result_type res(size);
    float       sum = 0.0f;
    while (sum == 0.0f) {
      for (Idx i = 0; i < size; ++i) {
        _gamma_.param(std::gamma_distribution< float >::param_type(parm[i], 1));
        res[i] = _gamma_(gum::randomGenerator());
        sum += res[i];
      }
    }
    for (Idx i = 0; i < size; ++i) {
      res[i] /= sum;
    }
    return res;
  }
 
  // returns the parameters of the distribution
  INLINE const Dirichlet::param_type& Dirichlet::param() const noexcept { return _params_; }
 
  // sets the parameters of the distribution
  INLINE void Dirichlet::param(const Dirichlet::param_type& parm) { _params_ = parm; }
 
  // Returns the greatest lower bound of the range of values possibly returned
  INLINE float Dirichlet::min() const noexcept { return 0.0f; }
 
  // Returns the lowest higher bound of the range of values possibly returned
  INLINE float Dirichlet::max() const noexcept { return 1.0f; }
} /* namespace gum */