gum::prm::ClusteredLayerGenerator< GUM_SCALAR > Class Template Reference

<agrum/PRM/generator/clusteredLayerGenerator.h> More...

#include <clusteredLayerGenerator.h>

Inheritance diagram for gum::prm::ClusteredLayerGenerator< GUM_SCALAR >:

Collaboration diagram for gum::prm::ClusteredLayerGenerator< GUM_SCALAR >:

Public Member Functions
Constructors and destructor.
	ClusteredLayerGenerator ()
	Default constructor. More...
	ClusteredLayerGenerator (const ClusteredLayerGenerator &source)
	Copy constructor. More...
ClusteredLayerGenerator &	operator= (const ClusteredLayerGenerator &source)
	Copy operator. More...
virtual	~ClusteredLayerGenerator ()
	Destructor. More...
Size	getDomainSize () const
	Getters and setters. More...
void	setDomainSize (Size s)
	Set the domain size of generated types. More...
Size	getMaxParents () const
	Returns the max number of parents allowed for any attribute or aggregator. More...
void	setMaxParents (Size s)
	Returns the max number of parents allowed for any attribute or aggregator. More...
double	getClusterRatio () const
	Returns the odds of a given class to be replaced by a cluster. More...
void	setClusterRatio (double ratio)
	Define the odds of a given class to be replaced by a cluster. More...
void	setLayers (const std::vector< typename LayerGenerator< GUM_SCALAR >::LayerData > &v)
	Defines the structure of each layers. More...
std::vector< typename LayerGenerator< GUM_SCALAR >::LayerData > &	getLayer ()
	Getters and setters. More...
const std::vector< typename LayerGenerator< GUM_SCALAR >::LayerData > &	getLayer () const
	Getters and setters. More...
virtual PRM< GUM_SCALAR > *	generate ()
	Proceeds with the generation of the PRM<GUM_SCALAR>. More...
void	setNameGenerator (const NameGenerator &name_gen)
	Getters and setters. More...
const NameGenerator &	getNameGenerator () const
	Returns the NameGenerator used by this generator. More...

Protected Attributes
NameGenerator	name_gen_
	The name generator used by this class. More...

Classes
struct	MyData

Detailed Description

template<typename GUM_SCALAR>
class gum::prm::ClusteredLayerGenerator< GUM_SCALAR >

<agrum/PRM/generator/clusteredLayerGenerator.h>

This class generates PRMs with a clustered layer structure.

Definition at line 56 of file clusteredLayerGenerator.h.

Constructor & Destructor Documentation

ClusteredLayerGenerator() [1/2]

template<typename GUM_SCALAR >

INLINE gum::prm::ClusteredLayerGenerator< GUM_SCALAR >::ClusteredLayerGenerator

(

)

Default constructor.

Definition at line 532 of file clusteredLayerGenerator_tpl.h.

References gum::prm::ParamScopeData< GUM_SCALAR >::ParamScopeData().

                                                                          :
        layers__(), domain_size__(2), max_parents__(INT_MAX),
        cluster_ratio__(0.0) {
      GUM_CONSTRUCTOR(ClusteredLayerGenerator);
    }

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ClusteredLayerGenerator() [2/2]

template<typename GUM_SCALAR >

INLINE gum::prm::ClusteredLayerGenerator< GUM_SCALAR >::ClusteredLayerGenerator

(

const ClusteredLayerGenerator< GUM_SCALAR > &

source

)

Copy constructor.

Definition at line 539 of file clusteredLayerGenerator_tpl.h.

References gum::prm::ParamScopeData< GUM_SCALAR >::ParamScopeData().

                                                            :
        layers__(source.layers__),
        domain_size__(source.domain_size__), max_parents__(source.max_parents__) {
      GUM_CONS_CPY(ClusteredLayerGenerator);
    }

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~ClusteredLayerGenerator()

template<typename GUM_SCALAR >

INLINE gum::prm::ClusteredLayerGenerator< GUM_SCALAR >::~ClusteredLayerGenerator ( )

virtual

Destructor.

Definition at line 547 of file clusteredLayerGenerator_tpl.h.

References gum::prm::ParamScopeData< GUM_SCALAR >::ParamScopeData().

                                                                           {
      GUM_DESTRUCTOR(ClusteredLayerGenerator);
      // typedef HashTable<std::string, std::vector<std::string>*>::iterator
      // Iter;
      // for (Iter iter = cluster_map__.begin(); iter != cluster_map__.end();
      // ++iter)
      // {
      //   delete *iter;
      // }
    }

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Member Function Documentation

generate()

template<typename GUM_SCALAR >

PRM< GUM_SCALAR > * gum::prm::ClusteredLayerGenerator< GUM_SCALAR >::generate ( )

virtual

Proceeds with the generation of the PRM<GUM_SCALAR>.

Implements gum::prm::PRMGenerator< GUM_SCALAR >.

Definition at line 33 of file clusteredLayerGenerator_tpl.h.

References gum::prm::ParamScopeData< GUM_SCALAR >::ParamScopeData().

                                                                       {
      if (layers__.size() == 0) {
        GUM_ERROR(OperationNotAllowed,
                  "cannot generate a layered PRM<GUM_SCALAR> without layers");
      }

      std::vector< MyData >    l;
      PRMFactory< GUM_SCALAR > factory;
      std::string              type = generateType__(factory);
      generateInterfaces__(factory, type, l);
      generateClasses__(factory, type, l);
      generateSystem__(factory, l);
      return factory.prm();
    }

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generateClass__()

template<typename GUM_SCALAR >

void gum::prm::ClusteredLayerGenerator< GUM_SCALAR >::generateClass__ ( PRMFactory< GUM_SCALAR > &  f, const std::string &  type, std::vector< typename ClusteredLayerGenerator< GUM_SCALAR >::MyData > &  l, Size  lvl, Set< std::string > &  i  )

private

Definition at line 321 of file clusteredLayerGenerator_tpl.h.

References gum::prm::ParamScopeData< GUM_SCALAR >::ParamScopeData().

                                                                               {
      Size       size = 0;
      GUM_SCALAR sum  = 0.0;
      l[lvl].c.push_back(this->name_gen_.nextName(PRMObject::prm_type::CLASS));
      f.startClass(l[lvl].c.back(), "", &i);

      if (lvl) f.addReferenceSlot(l[lvl - 1].i, l[lvl].r, true);

      DAG                              dag;
      Bijection< std::string, NodeId > names;
      generateClassDag__(lvl, dag, names, l);

      // Adding aggregates
      if (lvl) {
        for (const auto agg: l[lvl].g) {
          std::stringstream s;
          s << l[lvl].r << "." << l[lvl - 1].a[std::rand() % l[lvl - 1].a.size()];
          std::vector< std::string > chain(1, s.str()), param(1, "1");
          f.addAggregator(agg, "exists", chain, param);
        }
      }

      // Adding attributes
      for (const auto attr: l[lvl].a) {
        f.startAttribute(type, attr, true);
        size = getDomainSize();

        for (const auto par: dag.parents(names.second(attr))) {
          f.addParent(names.first(par));
          size *= f.retrieveClass(l[lvl].c.back())
                     .get(names.first(par))
                     .type()
                     ->domainSize();
        }

        std::vector< GUM_SCALAR > cpf(size), val(getDomainSize());

        for (size_t norms = 0; norms < size; norms += getDomainSize()) {
          sum = 0.0;

          for (size_t idx = 0; idx < getDomainSize(); ++idx) {
            val[idx] = 1 + std::rand();
            sum += val[idx];
          }

          for (size_t idx = 0; idx < getDomainSize(); ++idx)
            cpf[norms + idx] = val[idx] / sum;
        }

        f.setRawCPFByLines(cpf);
        f.endAttribute();
      }

      f.endClass();
    }

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generateClassDag__()

template<typename GUM_SCALAR >

void gum::prm::ClusteredLayerGenerator< GUM_SCALAR >::generateClassDag__ ( Size  lvl, DAG &  dag, Bijection< std::string, NodeId > &  names, std::vector< typename ClusteredLayerGenerator< GUM_SCALAR >::MyData > &  l  )

private

Definition at line 383 of file clusteredLayerGenerator_tpl.h.

References gum::prm::ParamScopeData< GUM_SCALAR >::ParamScopeData().

                                                                             {
      float                 density = layers__[lvl].inner_density * RAND_MAX;
      std::vector< NodeId > nodes;
      NodeId                id = 0;

      if (lvl) {
        for (std::vector< std::string >::iterator g = l[lvl].g.begin();
             g != l[lvl].g.end();
             ++g) {
          id = dag.addNode();
          names.insert(*g, id);
          nodes.push_back(id);
        }
      }

      for (std::vector< std::string >::iterator a = l[lvl].a.begin();
           a != l[lvl].a.end();
           ++a) {
        id = dag.addNode();
        names.insert(*a, id);

        for (std::vector< NodeId >::iterator prnt = nodes.begin();
             prnt != nodes.end();
             ++prnt)
          if (std::rand() < density) dag.addArc(*prnt, names.second(*a));

        nodes.push_back(id);
      }

      // For each nodes with #parents > max_parents__ we randomly remove parents
      // until
      // #parents <= max_parents__
      for (const auto node: dag.nodes()) {
        if (dag.parents(node).size() > getMaxParents()) {
          std::vector< NodeId > v;

          for (const auto par: dag.parents(node))
            v.push_back(par);

          while (dag.parents(node).size() > getMaxParents()) {
            size_t idx = std::rand() % v.size();
            Arc    arc(v[idx], node);
            GUM_ASSERT(dag.existsArc(arc));
            dag.eraseArc(arc);
            v[idx] = v.back();
            v.pop_back();
          }
        }
      }
    }

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generateClasses__()

template<typename GUM_SCALAR >

void gum::prm::ClusteredLayerGenerator< GUM_SCALAR >::generateClasses__ ( PRMFactory< GUM_SCALAR > &  f, const std::string &  type, std::vector< typename ClusteredLayerGenerator< GUM_SCALAR >::MyData > &  l  )

private

Definition at line 96 of file clusteredLayerGenerator_tpl.h.

References gum::prm::ParamScopeData< GUM_SCALAR >::ParamScopeData().

                                                                             {
      // double ratio = getClusterRatio() + RAND_MAX;
      Set< std::string > i;

      for (Size lvl = 0; lvl < layers__.size(); ++lvl) {
        i.insert(l[lvl].i);

        for (Size c = 0; c < layers__[lvl].c; ++c) {
          // if (std::rand() < ratio)
          generateCluster__(f, type, l, lvl, i);
          // else
          //  generateClass__(f, type, l, lvl, i);
        }

        i.erase(l[lvl].i);
      }
    }

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generateCluster__()

template<typename GUM_SCALAR >

void gum::prm::ClusteredLayerGenerator< GUM_SCALAR >::generateCluster__ ( PRMFactory< GUM_SCALAR > &  f, const std::string &  type, std::vector< typename ClusteredLayerGenerator< GUM_SCALAR >::MyData > &  l, Size  lvl, Set< std::string > &  i  )

private

Definition at line 118 of file clusteredLayerGenerator_tpl.h.

References gum::prm::ParamScopeData< GUM_SCALAR >::ParamScopeData().

                                                                               {
      Size                        size = 0;
      GUM_SCALAR                  sum  = 0.0;
      std::string                 first, second, third;
      std::vector< std::string >* v = 0;

      switch (std::rand() % 2) {
        // Shape A->B
        // v == [first, second, second.ref -> first]
        case 0: {
          v = new std::vector< std::string >();
          generateClass__(f, type, l, lvl, i);
          first = l[lvl].c.back();
          v->push_back(first);
          v->push_back(this->name_gen_.nextName(PRMObject::prm_type::CLASS));
          f.startClass(v->back());
          v->push_back(this->name_gen_.nextName(PRMObject::prm_type::CLASS_ELT));
          f.addReferenceSlot(first, v->back(), true);
          DAG                              dag;
          Bijection< std::string, NodeId > names;
          generateClassDag__(lvl, dag, names, l);

          // Adding aggregates
          for (std::vector< std::string >::iterator g = l[lvl].g.begin();
               g != l[lvl].g.end();
               ++g) {
            std::stringstream s;
            s << v->back() << "." << l[lvl].a[std::rand() % l[lvl].a.size()];
            std::vector< std::string > chain(1, s.str()), param(1, "1");
            f.addAggregator(*g, "exists", chain, param);
          }

          // Adding attributes
          for (std::vector< std::string >::iterator a = l[lvl].a.begin();
               a != l[lvl].a.end();
               ++a) {
            f.startAttribute(type, *a, true);
            size = getDomainSize();

            for (const auto par: dag.parents(names.second(*a))) {
              f.addParent(names.first(par));
              size *= f.retrieveClass(l[lvl].c.back())
                         .get(names.first(par))
                         .type()
                         ->domainSize();
            }

            std::vector< GUM_SCALAR > cpf(size), val(getDomainSize());

            for (size_t norms = 0; norms < size; norms += getDomainSize()) {
              sum = 0.0;

              for (size_t idx = 0; idx < getDomainSize(); ++idx) {
                val[idx] = 1 + std::rand();
                sum += val[idx];
              }

              for (size_t idx = 0; idx < getDomainSize(); ++idx)
                cpf[norms + idx] = val[idx] / sum;
            }

            f.setRawCPFByLines(cpf);
            f.endAttribute();
          }

          f.endClass();
          break;
        }

        // Shape A -> B -> C
        // v == [first, second, second.ref -> first, third, third.ref -> second]
        case 1: {
          v = new std::vector< std::string >();
          generateClass__(f, type, l, lvl, i);
          {
            first = l[lvl].c.back();
            v->push_back(first);
            v->push_back(this->name_gen_.nextName(PRMObject::prm_type::CLASS));
            second = v->back();
            f.startClass(second);
            v->push_back(this->name_gen_.nextName(PRMObject::prm_type::CLASS_ELT));
            f.addReferenceSlot(first, v->back(), true);
            DAG                              dag;
            Bijection< std::string, NodeId > names;
            generateClassDag__(lvl, dag, names, l);

            // Adding aggregates
            for (std::vector< std::string >::iterator g = l[lvl].g.begin();
                 g != l[lvl].g.end();
                 ++g) {
              std::stringstream s;
              s << v->back() << "." << l[lvl].a[std::rand() % l[lvl].a.size()];
              std::vector< std::string > chain(1, s.str()), param(1, "1");
              f.addAggregator(*g, "exists", chain, param);
            }

            // Adding attributes
            for (std::vector< std::string >::iterator a = l[lvl].a.begin();
                 a != l[lvl].a.end();
                 ++a) {
              f.startAttribute(type, *a, true);
              size = getDomainSize();

              for (const auto par: dag.parents(names.second(*a))) {
                f.addParent(names.first(par));
                size *= f.retrieveClass(l[lvl].c.back())
                           .get(names.first(par))
                           .type()
                           ->domainSize();
              }

              std::vector< GUM_SCALAR > cpf(size), val(getDomainSize());

              for (size_t norms = 0; norms < size; norms += getDomainSize()) {
                sum = 0.0;

                for (size_t idx = 0; idx < getDomainSize(); ++idx) {
                  val[idx] = 1 + std::rand();
                  sum += val[idx];
                }

                for (size_t idx = 0; idx < getDomainSize(); ++idx)
                  cpf[norms + idx] = val[idx] / sum;
              }

              f.setRawCPFByLines(cpf);
              f.endAttribute();
            }

            f.endClass();
          }
          {
            v->push_back(this->name_gen_.nextName(PRMObject::prm_type::CLASS));
            third = v->back();
            f.startClass(third);
            v->push_back(this->name_gen_.nextName(PRMObject::prm_type::CLASS_ELT));
            f.addReferenceSlot(second, v->back(), true);
            DAG                              dag;
            Bijection< std::string, NodeId > names;
            generateClassDag__(lvl, dag, names, l);

            // Adding aggregates
            for (std::vector< std::string >::iterator g = l[lvl].g.begin();
                 g != l[lvl].g.end();
                 ++g) {
              std::stringstream s;
              s << v->back() << "." << l[lvl].a[std::rand() % l[lvl].a.size()];
              std::vector< std::string > chain(1, s.str()), param(1, "1");
              f.addAggregator(*g, "exists", chain, param);
            }

            // Adding attributes
            for (std::vector< std::string >::iterator a = l[lvl].a.begin();
                 a != l[lvl].a.end();
                 ++a) {
              f.startAttribute(type, *a, true);
              size = getDomainSize();

              for (const auto par: dag.parents(names.second(*a))) {
                f.addParent(names.first(par));
                size *= f.retrieveClass(l[lvl].c.back())
                           .get(names.first(par))
                           .type()
                           ->domainSize();
              }

              std::vector< GUM_SCALAR > cpf(size), val(getDomainSize());

              for (size_t norms = 0; norms < size; norms += getDomainSize()) {
                sum = 0.0;

                for (size_t idx = 0; idx < getDomainSize(); ++idx) {
                  val[idx] = 1 + std::rand();
                  sum += val[idx];
                }

                for (size_t idx = 0; idx < getDomainSize(); ++idx)
                  cpf[norms + idx] = val[idx] / sum;
              }

              f.setRawCPFByLines(cpf);
              f.endAttribute();
            }

            f.endClass();
          }
          break;
        }

        default: {
          GUM_ERROR(OperationNotAllowed, "unexpected value");
        }
      }

      cluster_map__.insert(first, v);
    }

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generateInterfaces__()

template<typename GUM_SCALAR >

void gum::prm::ClusteredLayerGenerator< GUM_SCALAR >::generateInterfaces__ ( PRMFactory< GUM_SCALAR > &  f, const std::string &  type, std::vector< MyData > &  l  )

private

Definition at line 65 of file clusteredLayerGenerator_tpl.h.

References gum::prm::ParamScopeData< GUM_SCALAR >::ParamScopeData().

                                                                             {
      for (Size lvl = 0; lvl < layers__.size(); ++lvl) {
        l.push_back(ClusteredLayerGenerator< GUM_SCALAR >::MyData());
        l[lvl].i = this->name_gen_.nextName(PRMObject::prm_type::PRM_INTERFACE);
        f.startInterface(l[lvl].i);

        for (Size a = 0; a < layers__[lvl].a; ++a) {
          l[lvl].a.push_back(
             this->name_gen_.nextName(PRMObject::prm_type::CLASS_ELT));
          f.addAttribute(type, l[lvl].a.back());
        }

        if (lvl) {
          for (Size g = 0; g < layers__[lvl].g; ++g) {
            l[lvl].g.push_back(
               this->name_gen_.nextName(PRMObject::prm_type::CLASS_ELT));
            f.addAttribute("boolean", l[lvl].g.back());
          }

          l[lvl].r = this->name_gen_.nextName(PRMObject::prm_type::CLASS_ELT);
          f.addReferenceSlot(l[lvl - 1].i, l[lvl].r, true);
        }

        f.endInterface();
      }
    }

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generateSystem__()

template<typename GUM_SCALAR >

void gum::prm::ClusteredLayerGenerator< GUM_SCALAR >::generateSystem__ ( PRMFactory< GUM_SCALAR > &  factory, std::vector< typename ClusteredLayerGenerator< GUM_SCALAR >::MyData > &  l  )

private

Definition at line 439 of file clusteredLayerGenerator_tpl.h.

References gum::prm::ParamScopeData< GUM_SCALAR >::ParamScopeData().

                                                                             {
      factory.startSystem(this->name_gen_.nextName(PRMObject::prm_type::SYSTEM));
      std::vector< std::vector< std::string > > o(layers__.size());
      std::string                               name, c, first, second, third;
      std::vector< std::string >*               v   = 0;
      size_t                                    idx = 0;

      for (size_t lvl = 0; lvl < layers__.size(); ++lvl) {
        float density = layers__[lvl].outter_density * RAND_MAX;

        for (size_t count = 0; count < layers__[lvl].o; ++count) {
          c = l[lvl].c[std::rand() % l[lvl].c.size()];

          if (cluster_map__.exists(c)) {
            v = cluster_map__[c];

            switch (v->size()) {
              case 3: {
                first = this->name_gen_.nextName(PRMObject::prm_type::INSTANCE);
                factory.addInstance(c, first);
                second = this->name_gen_.nextName(PRMObject::prm_type::INSTANCE);
                factory.addInstance(v->at(1), second);
                std::stringstream chain;
                chain << second << "." << v->at(2);
                factory.setReferenceSlot(chain.str(), first);
                break;
              }

              case 5: {
                first = this->name_gen_.nextName(PRMObject::prm_type::INSTANCE);
                factory.addInstance(c, first);
                second = this->name_gen_.nextName(PRMObject::prm_type::INSTANCE);
                factory.addInstance(v->at(1), second);
                std::stringstream chain_1, chain_2;
                chain_1 << second << "." << v->at(2);
                factory.setReferenceSlot(chain_1.str(), first);
                third = this->name_gen_.nextName(PRMObject::prm_type::INSTANCE);
                factory.addInstance(v->at(3), third);
                chain_2 << third << "." << v->at(4);
                factory.setReferenceSlot(chain_2.str(), second);
                break;
              }

              default: {
                GUM_ERROR(OperationNotAllowed, "unexpected vector size");
              }
            }

            // cluster_map__.erase(c);
            // delete v;
            name = first;
          } else {
            name = this->name_gen_.nextName(PRMObject::prm_type::INSTANCE);
            factory.addInstance(c, name);
          }

          o[lvl].push_back(name);

          if (lvl) {
            std::stringstream chain;
            chain << name << "." << l[lvl].r;
            std::vector< std::string > ref2add;

            for (std::vector< std::string >::iterator iter = o[lvl - 1].begin();
                 iter != o[lvl - 1].end();
                 ++iter)
              if (std::rand() <= density) ref2add.push_back(*iter);

            if (ref2add.empty())
              factory.setReferenceSlot(
                 chain.str(),
                 o[lvl - 1][std::rand() % o[lvl - 1].size()]);

            while (ref2add.size() > getMaxParents()) {
              idx          = std::rand() % ref2add.size();
              ref2add[idx] = ref2add.back();
              ref2add.pop_back();
            }

            for (std::vector< std::string >::iterator iter = ref2add.begin();
                 iter != ref2add.end();
                 ++iter)
              factory.setReferenceSlot(chain.str(), *iter);
          }
        }
      }

      factory.endSystem();
    }

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generateType__()

template<typename GUM_SCALAR >

std::string gum::prm::ClusteredLayerGenerator< GUM_SCALAR >::generateType__ ( PRMFactory< GUM_SCALAR > &  f )

private

Definition at line 49 of file clusteredLayerGenerator_tpl.h.

References gum::prm::ParamScopeData< GUM_SCALAR >::ParamScopeData().

                                          {
      std::string name = this->name_gen_.nextName(PRMObject::prm_type::TYPE);
      factory.startDiscreteType(name);

      for (Size i = 0; i < domain_size__; ++i) {
        std::stringstream sBuff;
        sBuff << i;
        factory.addLabel(sBuff.str());
      }

      factory.endDiscreteType();
      return name;
    }

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getClusterRatio()

template<typename GUM_SCALAR >

INLINE double gum::prm::ClusteredLayerGenerator< GUM_SCALAR >::getClusterRatio

(

)

const

Returns the odds of a given class to be replaced by a cluster.

Definition at line 607 of file clusteredLayerGenerator_tpl.h.

References gum::prm::ParamScopeData< GUM_SCALAR >::ParamScopeData().

                                                                               {
      return cluster_ratio__;
    }

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getDomainSize()

template<typename GUM_SCALAR >

INLINE Size gum::prm::ClusteredLayerGenerator< GUM_SCALAR >::getDomainSize

(

)

const

Getters and setters.

Returns the domain size of generated types.

Definition at line 569 of file clusteredLayerGenerator_tpl.h.

References gum::prm::ParamScopeData< GUM_SCALAR >::ParamScopeData().

                                                                           {
      return domain_size__;
    }

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getLayer() [1/2]

template<typename GUM_SCALAR >

INLINE std::vector< typename LayerGenerator< GUM_SCALAR >::LayerData > & gum::prm::ClusteredLayerGenerator< GUM_SCALAR >::getLayer

(

)

Getters and setters.

Returns the domain size of generated types.

Definition at line 596 of file clusteredLayerGenerator_tpl.h.

References gum::prm::ParamScopeData< GUM_SCALAR >::ParamScopeData().

                                                           {
      return layers__;
    }

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getLayer() [2/2]

template<typename GUM_SCALAR >

INLINE const std::vector< typename LayerGenerator< GUM_SCALAR >::LayerData > & gum::prm::ClusteredLayerGenerator< GUM_SCALAR >::getLayer

(

)

const

Getters and setters.

Returns the domain size of generated types.

Definition at line 602 of file clusteredLayerGenerator_tpl.h.

References gum::prm::ParamScopeData< GUM_SCALAR >::ParamScopeData().

                                                                       {
      return layers__;
    }

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getMaxParents()

template<typename GUM_SCALAR >

INLINE Size gum::prm::ClusteredLayerGenerator< GUM_SCALAR >::getMaxParents

(

)

const

Returns the max number of parents allowed for any attribute or aggregator.

Definition at line 579 of file clusteredLayerGenerator_tpl.h.

References gum::prm::ParamScopeData< GUM_SCALAR >::ParamScopeData().

                                                                           {
      return max_parents__;
    }

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getNameGenerator()

template<typename GUM_SCALAR >

INLINE const NameGenerator & gum::prm::PRMGenerator< GUM_SCALAR >::getNameGenerator ( ) const

inherited

Returns the NameGenerator used by this generator.

Definition at line 57 of file PRMGenerator_tpl.h.

References gum::prm::ParamScopeData< GUM_SCALAR >::ParamScopeData().

                                                                    {
      return name_gen_;
    }

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operator=()

template<typename GUM_SCALAR >

INLINE ClusteredLayerGenerator< GUM_SCALAR > & gum::prm::ClusteredLayerGenerator< GUM_SCALAR >::operator=

(

const ClusteredLayerGenerator< GUM_SCALAR > &

source

)

Copy operator.

Definition at line 560 of file clusteredLayerGenerator_tpl.h.

References gum::prm::ParamScopeData< GUM_SCALAR >::ParamScopeData().

                                                               {
      layers__      = source.layers__;
      domain_size__ = source.domain_size__;
      max_parents__ = source.max_parents__;
      return *this;
    }

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setClusterRatio()

template<typename GUM_SCALAR >

INLINE void gum::prm::ClusteredLayerGenerator< GUM_SCALAR >::setClusterRatio

(

double

ratio

)

Define the odds of a given class to be replaced by a cluster.

Definition at line 613 of file clusteredLayerGenerator_tpl.h.

References gum::prm::ParamScopeData< GUM_SCALAR >::ParamScopeData().

                                                                          {
      cluster_ratio__ = ratio;
    }

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setDomainSize()

template<typename GUM_SCALAR >

INLINE void gum::prm::ClusteredLayerGenerator< GUM_SCALAR >::setDomainSize

(

Size

s

)

Set the domain size of generated types.

Definition at line 574 of file clusteredLayerGenerator_tpl.h.

References gum::prm::ParamScopeData< GUM_SCALAR >::ParamScopeData().

                                                                           {
      domain_size__ = s;
    }

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setLayers()

template<typename GUM_SCALAR >

INLINE void gum::prm::ClusteredLayerGenerator< GUM_SCALAR >::setLayers

(

const std::vector< typename LayerGenerator< GUM_SCALAR >::LayerData > &

v

)

Defines the structure of each layers.

Each value in v defines a layer, were v[i].first is the number of different classes in the i-th layer and v[i].second is the number of instances in the i-th layer.

Parameters

v	A vector describing each layer.

Definition at line 589 of file clusteredLayerGenerator_tpl.h.

References gum::prm::ParamScopeData< GUM_SCALAR >::ParamScopeData().

                                                                             {
      layers__ = v;
    }

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setMaxParents()

template<typename GUM_SCALAR >

INLINE void gum::prm::ClusteredLayerGenerator< GUM_SCALAR >::setMaxParents

(

Size

s

)

Returns the max number of parents allowed for any attribute or aggregator.

Definition at line 584 of file clusteredLayerGenerator_tpl.h.

References gum::prm::ParamScopeData< GUM_SCALAR >::ParamScopeData().

                                                                           {
      max_parents__ = s;
    }

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setNameGenerator()

template<typename GUM_SCALAR >

INLINE void gum::prm::PRMGenerator< GUM_SCALAR >::setNameGenerator ( const NameGenerator &  name_gen )

inherited

Getters and setters.

Defines the NameGenerator used by this generator.

Definition at line 50 of file PRMGenerator_tpl.h.

References gum::prm::ParamScopeData< GUM_SCALAR >::ParamScopeData().

                                      {
      name_gen_ = name_gen;
    }

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Member Data Documentation

cluster_map__

template<typename GUM_SCALAR >

HashTable< std::string, std::vector< std::string >* > gum::prm::ClusteredLayerGenerator< GUM_SCALAR >::cluster_map__

private

Definition at line 121 of file clusteredLayerGenerator.h.

cluster_ratio__

template<typename GUM_SCALAR >

double gum::prm::ClusteredLayerGenerator< GUM_SCALAR >::cluster_ratio__

private

Definition at line 120 of file clusteredLayerGenerator.h.

domain_size__

template<typename GUM_SCALAR >

Size gum::prm::ClusteredLayerGenerator< GUM_SCALAR >::domain_size__

private

Definition at line 118 of file clusteredLayerGenerator.h.

layers__

template<typename GUM_SCALAR >

std::vector< typename LayerGenerator< GUM_SCALAR >::LayerData > gum::prm::ClusteredLayerGenerator< GUM_SCALAR >::layers__

private

Definition at line 117 of file clusteredLayerGenerator.h.

max_parents__

template<typename GUM_SCALAR >

Size gum::prm::ClusteredLayerGenerator< GUM_SCALAR >::max_parents__

private

Definition at line 119 of file clusteredLayerGenerator.h.

name_gen_

template<typename GUM_SCALAR >

NameGenerator gum::prm::PRMGenerator< GUM_SCALAR >::name_gen_

protectedinherited

The name generator used by this class.

Definition at line 80 of file PRMGenerator.h.

---

The documentation for this class was generated from the following files:

• agrum/PRM/generator/clusteredLayerGenerator.h
• agrum/PRM/generator/clusteredLayerGenerator_tpl.h