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/* */
/* Copyright 2008-2009 by Ullrich Koethe and Rahul Nair */
/* */
/* This file is part of the VIGRA computer vision library. */
/* The VIGRA Website is */
/* http://hci.iwr.uni-heidelberg.de/vigra/ */
/* Please direct questions, bug reports, and contributions to */
/* ullrich.koethe@iwr.uni-heidelberg.de or */
/* vigra@informatik.uni-hamburg.de */
/* */
/* Permission is hereby granted, free of charge, to any person */
/* obtaining a copy of this software and associated documentation */
/* files (the "Software"), to deal in the Software without */
/* restriction, including without limitation the rights to use, */
/* copy, modify, merge, publish, distribute, sublicense, and/or */
/* sell copies of the Software, and to permit persons to whom the */
/* Software is furnished to do so, subject to the following */
/* conditions: */
/* */
/* The above copyright notice and this permission notice shall be */
/* included in all copies or substantial portions of the */
/* Software. */
/* */
/* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND */
/* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES */
/* OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND */
/* NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT */
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/* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR */
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/* */
/************************************************************************/
#ifndef VIGRA_RANDOM_FOREST_NP_HXX
#define VIGRA_RANDOM_FOREST_NP_HXX
#include <algorithm>
#include <map>
#include <numeric>
#include "vigra/mathutil.hxx"
#include "vigra/array_vector.hxx"
#include "vigra/sized_int.hxx"
#include "vigra/matrix.hxx"
#include "vigra/random.hxx"
#include "vigra/functorexpression.hxx"
namespace vigra
{
enum NodeTags
{
UnFilledNode = 42,
AllColumns = 0x00000000,
ToBePrunedTag = 0x80000000,
LeafNodeTag = 0x40000000,
i_ThresholdNode = 0,
i_HyperplaneNode = 1,
i_HypersphereNode = 2,
e_ConstProbNode = 0 | LeafNodeTag,
e_LogRegProbNode = 1 | LeafNodeTag
};
/** NodeBase class.
\ingroup DecicionTree
This class implements common features of all nodes.
Memory Structure:
Int32 Array: TypeID, ParameterAddr, Child0, Child1, [ColumnData]0_
double Array: NodeWeight, [Parameters]1_
TODO: Throw away the crappy iterators and use vigra::ArrayVectorView
it is not like anybody else is going to use this NodeBase class
is it?
TODO: use the RF_Traits::ProblemSpec_t to specify the external
parameters instead of the options.
*/
class NodeBase
{
public:
typedef Int32 INT;
typedef ArrayVector<INT> T_Container_type;
typedef ArrayVector<double> P_Container_type;
typedef T_Container_type::iterator Topology_type;
typedef P_Container_type::iterator Parameter_type;
mutable Topology_type topology_;
int topology_size_;
mutable Parameter_type parameters_;
int parameter_size_ ;
// Tree Parameters
int featureCount_;
int classCount_;
// Node Parameters
bool hasData_;
/** get Node Weight
*/
double & weights()
{
return parameters_begin()[0];
}
double const & weights() const
{
return parameters_begin()[0];
}
/** has the data been set?
* todo: throw this out - bad design
*/
bool data() const
{
return hasData_;
}
/** get the node type id
* \sa NodeTags
*/
INT& typeID()
{
return topology_[0];
}
INT const & typeID() const
{
return topology_[0];
}
/** Where in the parameter_ array are the weights?
*/
INT & parameter_addr()
{
return topology_[1];
}
INT const & parameter_addr() const
{
return topology_[1];
}
/** Column Range **/
Topology_type column_data() const
{
return topology_ + 4 ;
}
/** get the start iterator to the columns
* - once again - throw out - static members are crap.
*/
Topology_type columns_begin() const
{
return column_data()+1;
}
/** how many columns?
*/
int columns_size() const
{
if(*column_data() == AllColumns)
return featureCount_;
else
return *column_data();;
}
/** end iterator to the columns
*/
Topology_type columns_end() const
{
return columns_begin() + columns_size();
}
/** Topology Range - gives access to the raw Topo memory
* the size_ member was added as a result of premature
* optimisation.
*/
Topology_type topology_begin() const
{
return topology_;
}
Topology_type topology_end() const
{
return topology_begin() + topology_size();
}
int topology_size() const
{
return topology_size_;
}
/** Parameter Range **/
Parameter_type parameters_begin() const
{
return parameters_;
}
Parameter_type parameters_end() const
{
return parameters_begin() + parameters_size();
}
int parameters_size() const
{
return parameter_size_;
}
/** where are the child nodes?
*/
INT & child(Int32 l)
{
return topology_begin()[2+l];
}
/** where are the child nodes?
*/
INT const & child(Int32 l) const
{
return topology_begin()[2+l];
}
/** Default Constructor**/
NodeBase()
:
hasData_(false)
{}
void copy(const NodeBase& o)
{
vigra_precondition(topology_size_==o.topology_size_,"Cannot copy nodes of different sizes");
vigra_precondition(featureCount_==o.featureCount_,"Cannot copy nodes with different feature count");
vigra_precondition(classCount_==o.classCount_,"Cannot copy nodes with different class counts");
vigra_precondition(parameters_size() ==o.parameters_size(),"Cannot copy nodes with different parameter sizes");
std::copy(o.topology_begin(), o.topology_end(), topology_);
std::copy(o.parameters_begin(),o.parameters_end(), parameters_);
}
/** create ReadOnly Base Node at position n (actual length is unknown)
* only common features i.e. children etc are accessible.
*/
NodeBase( T_Container_type const & topology,
P_Container_type const & parameter,
INT n)
:
topology_ (const_cast<Topology_type>(topology.begin()+ n)),
topology_size_(4),
parameters_ (const_cast<Parameter_type>(parameter.begin() + parameter_addr())),
parameter_size_(1),
featureCount_(topology[0]),
classCount_(topology[1]),
hasData_(true)
{
/*while((int)xrange.size() < featureCount_)
xrange.push_back(xrange.size());*/
}
/** create ReadOnly node with known length (the parameter range is valid)
*/
NodeBase( int tLen,
int pLen,
T_Container_type const & topology,
P_Container_type const & parameter,
INT n)
:
topology_ (const_cast<Topology_type>(topology.begin()+ n)),
topology_size_(tLen),
parameters_ (const_cast<Parameter_type>(parameter.begin() + parameter_addr())),
parameter_size_(pLen),
featureCount_(topology[0]),
classCount_(topology[1]),
hasData_(true)
{
/*while((int)xrange.size() < featureCount_)
xrange.push_back(xrange.size());*/
}
/** create ReadOnly node with known length
* from existing Node
*/
NodeBase( int tLen,
int pLen,
NodeBase & node)
:
topology_ (node.topology_),
topology_size_(tLen),
parameters_ (node.parameters_),
parameter_size_(pLen),
featureCount_(node.featureCount_),
classCount_(node.classCount_),
hasData_(true)
{
/*while((int)xrange.size() < featureCount_)
xrange.push_back(xrange.size());*/
}
/** create new Node at end of vector
* \param tLen number of integers needed in the topolog vector
* \param pLen number of parameters needed (this includes the node
* weight)
* \param topology reference to Topology array of decision tree.
* \param parameter reference to Parameter array of decision tree.
**/
NodeBase( int tLen,
int pLen,
T_Container_type & topology,
P_Container_type & parameter)
:
topology_size_(tLen),
parameter_size_(pLen),
featureCount_(topology[0]),
classCount_(topology[1]),
hasData_(true)
{
/*while((int)xrange.size() < featureCount_)
xrange.push_back(xrange.size());*/
size_t n = topology.size();
for(int ii = 0; ii < tLen; ++ii)
topology.push_back(0);
//topology.resize (n + tLen);
topology_ = topology.begin()+ n;
typeID() = UnFilledNode;
parameter_addr() = static_cast<int>(parameter.size());
//parameter.resize(parameter.size() + pLen);
for(int ii = 0; ii < pLen; ++ii)
parameter.push_back(0);
parameters_ = parameter.begin()+ parameter_addr();
weights() = 1;
}
/** PseudoCopy Constructor -
*
* Copy Node to the end of a container.
* Since each Node views on different data there can't be a real
* copy constructor (unless both objects should point to the
* same underlying data.
*/
NodeBase( NodeBase const & toCopy,
T_Container_type & topology,
P_Container_type & parameter)
:
topology_size_(toCopy.topology_size()),
parameter_size_(toCopy.parameters_size()),
featureCount_(topology[0]),
classCount_(topology[1]),
hasData_(true)
{
/*while((int)xrange.size() < featureCount_)
xrange.push_back(xrange.size());*/
size_t n = topology.size();
for(int ii = 0; ii < toCopy.topology_size(); ++ii)
topology.push_back(toCopy.topology_begin()[ii]);
// topology.insert(topology.end(), toCopy.topology_begin(), toCopy.topology_end());
topology_ = topology.begin()+ n;
parameter_addr() = static_cast<int>(parameter.size());
for(int ii = 0; ii < toCopy.parameters_size(); ++ii)
parameter.push_back(toCopy.parameters_begin()[ii]);
// parameter.insert(parameter.end(), toCopy.parameters_begin(), toCopy.parameters_end());
parameters_ = parameter.begin()+ parameter_addr();
}
};
template<NodeTags NodeType>
class Node;
template<>
class Node<i_ThresholdNode>
: public NodeBase
{
public:
typedef NodeBase BT;
/**constructors **/
Node( BT::T_Container_type & topology,
BT::P_Container_type & param)
: BT(5,2,topology, param)
{
BT::typeID() = i_ThresholdNode;
}
Node( BT::T_Container_type const & topology,
BT::P_Container_type const & param,
INT n )
: BT(5,2,topology, param, n)
{}
Node( BT & node_)
: BT(5, 2, node_)
{}
double& threshold()
{
return BT::parameters_begin()[1];
}
double const & threshold() const
{
return BT::parameters_begin()[1];
}
BT::INT& column()
{
return BT::column_data()[0];
}
BT::INT const & column() const
{
return BT::column_data()[0];
}
template<class U, class C>
BT::INT next(MultiArrayView<2,U,C> const & feature) const
{
return (feature(0, column()) < threshold())? child(0):child(1);
}
};
template<>
class Node<i_HyperplaneNode>
: public NodeBase
{
public:
typedef NodeBase BT;
/**constructors **/
Node( int nCol,
BT::T_Container_type & topology,
BT::P_Container_type & split_param)
: BT(nCol + 5,nCol + 2,topology, split_param)
{
BT::typeID() = i_HyperplaneNode;
}
Node( BT::T_Container_type const & topology,
BT::P_Container_type const & split_param,
int n )
: NodeBase(5 , 2,topology, split_param, n)
{
//TODO : is there a more elegant way to do this?
BT::topology_size_ += BT::column_data()[0]== AllColumns ?
0
: BT::column_data()[0];
BT::parameter_size_ += BT::columns_size();
}
Node( BT & node_)
: BT(5, 2, node_)
{
//TODO : is there a more elegant way to do this?
BT::topology_size_ += BT::column_data()[0]== AllColumns ?
0
: BT::column_data()[0];
BT::parameter_size_ += BT::columns_size();
}
double const & intercept() const
{
return BT::parameters_begin()[1];
}
double& intercept()
{
return BT::parameters_begin()[1];
}
BT::Parameter_type weights() const
{
return BT::parameters_begin()+2;
}
BT::Parameter_type weights()
{
return BT::parameters_begin()+2;
}
template<class U, class C>
BT::INT next(MultiArrayView<2,U,C> const & feature) const
{
double result = -1 * intercept();
if(*(BT::column_data()) == AllColumns)
{
for(int ii = 0; ii < BT::columns_size(); ++ii)
{
result +=feature[ii] * weights()[ii];
}
}
else
{
for(int ii = 0; ii < BT::columns_size(); ++ii)
{
result +=feature[BT::columns_begin()[ii]] * weights()[ii];
}
}
return result < 0 ? BT::child(0)
: BT::child(1);
}
};
template<>
class Node<i_HypersphereNode>
: public NodeBase
{
public:
typedef NodeBase BT;
/**constructors **/
Node( int nCol,
BT::T_Container_type & topology,
BT::P_Container_type & param)
: NodeBase(nCol + 5,nCol + 1,topology, param)
{
BT::typeID() = i_HypersphereNode;
}
Node( BT::T_Container_type const & topology,
BT::P_Container_type const & param,
int n )
: NodeBase(5, 1,topology, param, n)
{
BT::topology_size_ += BT::column_data()[0]== AllColumns ?
0
: BT::column_data()[0];
BT::parameter_size_ += BT::columns_size();
}
Node( BT & node_)
: BT(5, 1, node_)
{
BT::topology_size_ += BT::column_data()[0]== AllColumns ?
0
: BT::column_data()[0];
BT::parameter_size_ += BT::columns_size();
}
double const & squaredRadius() const
{
return BT::parameters_begin()[1];
}
double& squaredRadius()
{
return BT::parameters_begin()[1];
}
BT::Parameter_type center() const
{
return BT::parameters_begin()+2;
}
BT::Parameter_type center()
{
return BT::parameters_begin()+2;
}
template<class U, class C>
BT::INT next(MultiArrayView<2,U,C> const & feature) const
{
double result = -1 * squaredRadius();
if(*(BT::column_data()) == AllColumns)
{
for(int ii = 0; ii < BT::columns_size(); ++ii)
{
result += (feature[ii] - center()[ii])*
(feature[ii] - center()[ii]);
}
}
else
{
for(int ii = 0; ii < BT::columns_size(); ++ii)
{
result += (feature[BT::columns_begin()[ii]] - center()[ii])*
(feature[BT::columns_begin()[ii]] - center()[ii]);
}
}
return result < 0 ? BT::child(0)
: BT::child(1);
}
};
/** ExteriorNodeBase class.
\ingroup DecicionTree
This class implements common features of all interior nodes.
All interior nodes are derived classes of ExteriorNodeBase.
*/
template<>
class Node<e_ConstProbNode>
: public NodeBase
{
public:
typedef NodeBase BT;
Node( BT::T_Container_type & topology,
BT::P_Container_type & param)
:
BT(2,topology[1]+1, topology, param)
{
BT::typeID() = e_ConstProbNode;
}
Node( BT::T_Container_type const & topology,
BT::P_Container_type const & param,
int n )
: BT(2, topology[1]+1,topology, param, n)
{ }
Node( BT & node_)
: BT(2, node_.classCount_ +1, node_)
{}
BT::Parameter_type prob_begin() const
{
return BT::parameters_begin()+1;
}
BT::Parameter_type prob_end() const
{
return prob_begin() + prob_size();
}
int prob_size() const
{
return BT::classCount_;
}
};
template<>
class Node<e_LogRegProbNode>;
} // namespace vigra
#endif //RF_nodeproxy
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