PLearn::Grapher Class Reference

#include <Grapher.h>

Inheritance diagram for PLearn::Grapher:

[legend]Collaboration diagram for PLearn::Grapher:

[legend]List of all members.

Public Types
typedef Object	inherited
Public Member Functions
	Grapher ()
virtual void	run ()
	Overload this for runnable objects (default method issues a runtime error).
virtual void	build ()
	Should call simply inherited::build(), then this class's build_().
virtual void	makeDeepCopyFromShallowCopy (map< const void *, void * > &copies)
	Transforms a shallow copy into a deep copy.
	PLEARN_DECLARE_OBJECT (Grapher)
	Declares name and deepCopy methods.
Static Public Member Functions
void	plot_2D_classification (string epsfname, VMat trainset, TVec< int > griddim, TVec< pair< real, real > > gridrange, VMat gridoutputs, real radius, bool bw=false)
void	plot_1D_regression (string basename, VMat trainset, TVec< int > griddim, TVec< pair< real, real > > gridrange, VMat gridoutputs, VMat trainoutputs, bool bw=false)
Public Attributes
string	basename
string	task
real	class1_threshold
PP< PLearner >	learner
VMat	trainset
TVec< int >	griddim
TVec< pair< real, real > >	gridrange
real	radius
bool	bw
string	save_learner_as
Static Protected Member Functions
void	declareOptions (OptionList &ol)
	Declares this class' options.
Private Member Functions
void	build_ ()
	This does the actual building.
void	computeAutoGridrange ()

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Member Typedef Documentation

typedef Object PLearn::Grapher::inherited

Reimplemented from PLearn::Object. Definition at line 62 of file Grapher.h.

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Constructor & Destructor Documentation

PLearn::Grapher::Grapher (   )

Definition at line 495 of file Grapher.cc.

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Member Function Documentation

void PLearn::Grapher::build (   )  [virtual]

Should call simply inherited::build(), then this class's build_(). This method should be callable again at later times, after modifying some option fields to change the "architecture" of the object. Reimplemented from PLearn::Object. Definition at line 823 of file Grapher.cc. References build_().

void PLearn::Grapher::build_ (   )  [private]

This does the actual building. Reimplemented from PLearn::Object. Definition at line 548 of file Grapher.cc. Referenced by build().

void PLearn::Grapher::computeAutoGridrange (   )  [private]

Definition at line 461 of file Grapher.cc. References PLearn::TVec< T >::first(), PLearn::TVec< pair< real, real > >::first(), PLearn::VMat::getExample(), gridrange, PLearn::VMat::length(), PLearn::TVec< pair< real, real > >::resize(), trainset, and PLearn::Vec. Referenced by run().

void PLearn::Grapher::declareOptions (  OptionList &  ol  )  [static, protected]

Declares this class' options. Reimplemented from PLearn::Object. Definition at line 503 of file Grapher.cc. References PLearn::declareOption(), and PLearn::OptionList.

void PLearn::Grapher::makeDeepCopyFromShallowCopy (  map< const void *, void * > &  copies  )  [virtual]

Transforms a shallow copy into a deep copy. Definition at line 830 of file Grapher.cc.

PLearn::Grapher::PLEARN_DECLARE_OBJECT (  Grapher   )

Declares name and deepCopy methods.

void PLearn::Grapher::plot_1D_regression (  string  basename, VMat  trainset, TVec< int >  griddim, TVec< pair< real, real > >  gridrange, VMat  gridoutputs, VMat  trainoutputs, bool  bw = false )  [static]

Definition at line 586 of file Grapher.cc. References PLearn::endl(), PLearn::VMat::getExample(), PLearn::VMat::length(), PLearn::Mat, PLearn::pgetline(), PLERROR, PLearn::saveAscii(), PLearn::TVec< T >::size(), PLearn::sortRows(), and x. Referenced by run().

void PLearn::Grapher::plot_2D_classification (  string  epsfname, VMat  trainset, TVec< int >  griddim, TVec< pair< real, real > >  gridrange, VMat  gridoutputs, real  radius, bool  bw = false )  [static]

Definition at line 632 of file Grapher.cc. References PLearn::argmax(), PLearn::color(), PLearn::GhostScript::displayGray(), PLearn::GhostScript::displayRGB(), PLearn::endl(), PLearn::GhostScript::fillCircle(), PLearn::VMat::getExample(), PLearn::TVec< T >::length(), PLearn::VMat::length(), PLearn::GhostScript::mapping(), PLERROR, PLearn::GhostScript::setcolor(), PLearn::GhostScript::setgray(), PLearn::TVec< T >::size(), PLearn::VMat::width(), and x. Referenced by run().

void PLearn::Grapher::run (   )  [virtual]

Overload this for runnable objects (default method issues a runtime error). Reimplemented from PLearn::Object. Definition at line 717 of file Grapher.cc. References bw, class1_threshold, computeAutoGridrange(), PLearn::endl(), griddim, gridrange, PLearn::TVec< pair< real, real > >::isEmpty(), PLearn::VMat::length(), PLERROR, plot_1D_regression(), plot_2D_classification(), radius, PLearn::save(), save_learner_as, task, and trainset.

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Member Data Documentation

string PLearn::Grapher::basename

Definition at line 68 of file Grapher.h.

bool PLearn::Grapher::bw

Definition at line 76 of file Grapher.h. Referenced by run().

real PLearn::Grapher::class1_threshold

Definition at line 70 of file Grapher.h. Referenced by run().

TVec<int> PLearn::Grapher::griddim

Definition at line 73 of file Grapher.h. Referenced by run().

TVec< pair<real,real> > PLearn::Grapher::gridrange

Definition at line 74 of file Grapher.h. Referenced by computeAutoGridrange(), and run().

PP<PLearner> PLearn::Grapher::learner

Definition at line 71 of file Grapher.h.

real PLearn::Grapher::radius

Definition at line 75 of file Grapher.h. Referenced by run().

string PLearn::Grapher::save_learner_as

Definition at line 78 of file Grapher.h. Referenced by run().

string PLearn::Grapher::task

Definition at line 69 of file Grapher.h. Referenced by run().

VMat PLearn::Grapher::trainset

Definition at line 72 of file Grapher.h. Referenced by computeAutoGridrange(), and run().

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

• Grapher.h
• Grapher.cc

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