PLearn 0.1
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#include <GenerateDecisionPlot.h>
Public Types | |
typedef Object | inherited |
Public Member Functions | |
GenerateDecisionPlot () | |
virtual void | run () |
Overload this for runnable objects (default method issues a runtime error) | |
virtual void | build () |
Post-constructor. | |
virtual void | makeDeepCopyFromShallowCopy (CopiesMap &copies) |
Transforms a shallow copy into a deep copy. | |
virtual string | classname () const |
virtual OptionList & | getOptionList () const |
virtual OptionMap & | getOptionMap () const |
virtual RemoteMethodMap & | getRemoteMethodMap () const |
virtual GenerateDecisionPlot * | deepCopy (CopiesMap &copies) const |
Static Public Member Functions | |
static string | _classname_ () |
Declares name and deepCopy methods. | |
static OptionList & | _getOptionList_ () |
static RemoteMethodMap & | _getRemoteMethodMap_ () |
static Object * | _new_instance_for_typemap_ () |
static bool | _isa_ (const Object *o) |
static void | _static_initialize_ () |
static const PPath & | declaringFile () |
Public Attributes | |
string | basename |
PP< PLearner > | learner |
int | nx |
int | ny |
bool | include_datapoint_grid |
real | xmin |
real | xmax |
real | ymin |
real | ymax |
string | save_learner_as |
Static Public Attributes | |
static StaticInitializer | _static_initializer_ |
Static Protected Member Functions | |
static void | declareOptions (OptionList &ol) |
Declares this class' options. | |
Private Member Functions | |
void | build_ () |
This does the actual building. |
Definition at line 50 of file GenerateDecisionPlot.h.
Reimplemented from PLearn::Object.
Definition at line 62 of file GenerateDecisionPlot.h.
PLearn::GenerateDecisionPlot::GenerateDecisionPlot | ( | ) |
Definition at line 460 of file GenerateDecisionPlot.cc.
:basename("dxplot"), nx(10), ny(10), include_datapoint_grid(false), xmin(MISSING_VALUE), xmax(MISSING_VALUE), ymin(MISSING_VALUE), ymax(MISSING_VALUE) { }
string PLearn::GenerateDecisionPlot::_classname_ | ( | ) | [static] |
Declares name and deepCopy methods.
Reimplemented from PLearn::Object.
Definition at line 471 of file GenerateDecisionPlot.cc.
OptionList & PLearn::GenerateDecisionPlot::_getOptionList_ | ( | ) | [static] |
Reimplemented from PLearn::Object.
Definition at line 471 of file GenerateDecisionPlot.cc.
RemoteMethodMap & PLearn::GenerateDecisionPlot::_getRemoteMethodMap_ | ( | ) | [static] |
Reimplemented from PLearn::Object.
Definition at line 471 of file GenerateDecisionPlot.cc.
Reimplemented from PLearn::Object.
Definition at line 471 of file GenerateDecisionPlot.cc.
Object * PLearn::GenerateDecisionPlot::_new_instance_for_typemap_ | ( | ) | [static] |
Reimplemented from PLearn::Object.
Definition at line 471 of file GenerateDecisionPlot.cc.
StaticInitializer GenerateDecisionPlot::_static_initializer_ & PLearn::GenerateDecisionPlot::_static_initialize_ | ( | ) | [static] |
Reimplemented from PLearn::Object.
Definition at line 471 of file GenerateDecisionPlot.cc.
void PLearn::GenerateDecisionPlot::build | ( | ) | [virtual] |
Post-constructor.
The normal implementation 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 548 of file GenerateDecisionPlot.cc.
References PLearn::Object::build(), and build_().
{ inherited::build(); build_(); }
void PLearn::GenerateDecisionPlot::build_ | ( | ) | [private] |
This does the actual building.
Reimplemented from PLearn::Object.
Definition at line 510 of file GenerateDecisionPlot.cc.
Referenced by build().
{ // ### This method should do the real building of the object, // ### according to set 'options', in *any* situation. // ### Typical situations include: // ### - Initial building of an object from a few user-specified options // ### - Building of a "reloaded" object: i.e. from the complete set of all serialised options. // ### - Updating or "re-building" of an object after a few "tuning" options have been modified. // ### You should assume that the parent class' build_() has already been called. }
string PLearn::GenerateDecisionPlot::classname | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 471 of file GenerateDecisionPlot.cc.
void PLearn::GenerateDecisionPlot::declareOptions | ( | OptionList & | ol | ) | [static, protected] |
Declares this class' options.
Reimplemented from PLearn::Object.
Definition at line 473 of file GenerateDecisionPlot.cc.
References basename, PLearn::OptionBase::buildoption, PLearn::declareOption(), PLearn::Object::declareOptions(), include_datapoint_grid, learner, nx, ny, save_learner_as, xmax, xmin, ymax, and ymin.
{ // ### Declare all of this object's options here // ### For the "flags" of each option, you should typically specify // ### one of OptionBase::buildoption, OptionBase::learntoption or // ### OptionBase::tuningoption. Another possible flag to be combined with // ### is OptionBase::nosave declareOption(ol, "basename", &GenerateDecisionPlot::basename, OptionBase::buildoption, "Base name of the .dx data file to generate. Running this class will generate\n" "files basename_dset.dx containing targets and outputs for the given dataset positions\n" "and basename_outputs.dx containing outputs computed at grid positions\n"); declareOption(ol, "learner", &GenerateDecisionPlot::learner, OptionBase::buildoption, "The learner to train/test. Its train_set will be used as the dataset on\n" "which to base this decision plot (ranges are inferred from it, and decisions\n" "on the training points are written in basename_dset.dx"); declareOption(ol, "nx", &GenerateDecisionPlot::nx, OptionBase::buildoption, "Number of x sample coordinates (grid)"); declareOption(ol, "ny", &GenerateDecisionPlot::ny, OptionBase::buildoption, "Number of y sample coordinates (grid)"); declareOption(ol, "include_datapoint_grid", &GenerateDecisionPlot::include_datapoint_grid, OptionBase::buildoption, ""); declareOption(ol, "xmin", &GenerateDecisionPlot::xmin, OptionBase::buildoption, ""); declareOption(ol, "xmax", &GenerateDecisionPlot::xmax, OptionBase::buildoption, ""); declareOption(ol, "ymin", &GenerateDecisionPlot::ymin, OptionBase::buildoption, ""); declareOption(ol, "ymax", &GenerateDecisionPlot::ymax, OptionBase::buildoption, ""); declareOption(ol, "save_learner_as", &GenerateDecisionPlot::save_learner_as, OptionBase::buildoption, "(Optionally) save trained learner in this file (.psave)"); // Now call the parent class' declareOptions inherited::declareOptions(ol); }
static const PPath& PLearn::GenerateDecisionPlot::declaringFile | ( | ) | [inline, static] |
Reimplemented from PLearn::Object.
Definition at line 110 of file GenerateDecisionPlot.h.
GenerateDecisionPlot * PLearn::GenerateDecisionPlot::deepCopy | ( | CopiesMap & | copies | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 471 of file GenerateDecisionPlot.cc.
OptionList & PLearn::GenerateDecisionPlot::getOptionList | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 471 of file GenerateDecisionPlot.cc.
OptionMap & PLearn::GenerateDecisionPlot::getOptionMap | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 471 of file GenerateDecisionPlot.cc.
RemoteMethodMap & PLearn::GenerateDecisionPlot::getRemoteMethodMap | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 471 of file GenerateDecisionPlot.cc.
void PLearn::GenerateDecisionPlot::makeDeepCopyFromShallowCopy | ( | CopiesMap & | copies | ) | [virtual] |
Transforms a shallow copy into a deep copy.
Reimplemented from PLearn::Object.
Definition at line 555 of file GenerateDecisionPlot.cc.
References PLearn::Object::makeDeepCopyFromShallowCopy().
{ inherited::makeDeepCopyFromShallowCopy(copies); }
void PLearn::GenerateDecisionPlot::run | ( | ) | [virtual] |
Overload this for runnable objects (default method issues a runtime error)
Reimplemented from PLearn::Object.
Definition at line 522 of file GenerateDecisionPlot.cc.
References PLearn::DX_create_dataset_outputs_file(), PLearn::DX_create_grid_outputs_file(), PLearn::endl(), include_datapoint_grid, learner, nx, ny, PLearn::Object::save(), save_learner_as, xmax, xmin, ymax, and ymin.
{ VMat dataset = learner->getTrainingSet(); learner->setTrainStatsCollector(new VecStatsCollector()); learner->train(); if(save_learner_as!="") { cerr << "Saving trained learner in file " << save_learner_as << endl; PLearn::save(save_learner_as, *learner); } string dset_fname = basename+"_dset.dx"; cerr << "Computing and writing dataset output field to file " << dset_fname << endl; DX_create_dataset_outputs_file(dset_fname, learner, dataset); string outputs_fname = basename+"_outputs.dx"; cerr << "Computing and writing grid output field to file " << outputs_fname << endl; DX_create_grid_outputs_file(outputs_fname, learner, dataset, nx, ny, include_datapoint_grid, xmin, xmax, ymin, ymax); cerr << "You can now view those files with OpenDX." << endl; }
Reimplemented from PLearn::Object.
Definition at line 110 of file GenerateDecisionPlot.h.
Definition at line 68 of file GenerateDecisionPlot.h.
Referenced by declareOptions().
Definition at line 72 of file GenerateDecisionPlot.h.
Referenced by declareOptions(), and run().
Definition at line 69 of file GenerateDecisionPlot.h.
Referenced by declareOptions(), and run().
Definition at line 70 of file GenerateDecisionPlot.h.
Referenced by declareOptions(), and run().
Definition at line 71 of file GenerateDecisionPlot.h.
Referenced by declareOptions(), and run().
Definition at line 74 of file GenerateDecisionPlot.h.
Referenced by declareOptions(), and run().
Definition at line 73 of file GenerateDecisionPlot.h.
Referenced by declareOptions(), and run().
Definition at line 73 of file GenerateDecisionPlot.h.
Referenced by declareOptions(), and run().
Definition at line 73 of file GenerateDecisionPlot.h.
Referenced by declareOptions(), and run().
Definition at line 73 of file GenerateDecisionPlot.h.
Referenced by declareOptions(), and run().