PLearn 0.1
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Deep Belief Net, possibly supervised, trained only with CD. More...
#include <SemiSupervisedDBN.h>
Public Member Functions | |
SemiSupervisedDBN () | |
### declare public option fields (such as build options) here Start your comments with Doxygen-compatible comments such as //! | |
virtual int | outputsize () const |
Returns the size of this learner's output, (which typically may depend on its inputsize(), targetsize() and set options). | |
virtual void | forget () |
(Re-)initializes the PLearner in its fresh state (that state may depend on the 'seed' option) and sets 'stage' back to 0 (this is the stage of a fresh learner!). | |
virtual void | train () |
The role of the train method is to bring the learner up to stage==nstages, updating the train_stats collector with training costs measured on-line in the process. | |
virtual void | computeOutput (const Vec &input, Vec &output) const |
Computes the output from the input. | |
virtual void | computeCostsFromOutputs (const Vec &input, const Vec &output, const Vec &target, Vec &costs) const |
Computes the costs from already computed output. | |
virtual TVec< std::string > | getTestCostNames () const |
Returns the names of the costs computed by computeCostsFromOutpus (and thus the test method). | |
virtual TVec< std::string > | getTrainCostNames () const |
Returns the names of the objective costs that the train method computes and for which it updates the VecStatsCollector train_stats. | |
virtual string | classname () const |
virtual OptionList & | getOptionList () const |
virtual OptionMap & | getOptionMap () const |
virtual RemoteMethodMap & | getRemoteMethodMap () const |
virtual SemiSupervisedDBN * | deepCopy (CopiesMap &copies) const |
virtual void | build () |
Finish building the object; just call inherited::build followed by build_() | |
virtual void | makeDeepCopyFromShallowCopy (CopiesMap &copies) |
Transforms a shallow copy into a deep copy. | |
Static Public Member Functions | |
static string | _classname_ () |
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 () |
Static Public Attributes | |
static StaticInitializer | _static_initializer_ |
Static Protected Member Functions | |
static void | declareOptions (OptionList &ol) |
Declares the class options. | |
Private Types | |
typedef PLearner | inherited |
Private Member Functions | |
void | build_ () |
This does the actual building. |
Deep Belief Net, possibly supervised, trained only with CD.
Definition at line 55 of file SemiSupervisedDBN.h.
typedef PLearner PLearn::SemiSupervisedDBN::inherited [private] |
Reimplemented from PLearn::PLearner.
Definition at line 57 of file SemiSupervisedDBN.h.
PLearn::SemiSupervisedDBN::SemiSupervisedDBN | ( | ) |
### declare public option fields (such as build options) here Start your comments with Doxygen-compatible comments such as //!
Default constructor
Definition at line 50 of file SemiSupervisedDBN.cc.
References PLearn::PLearner::random_gen.
: learning_rate(0), n_classes(0), share_layers(false), n_layers(0) { random_gen = new PRandom(); }
string PLearn::SemiSupervisedDBN::_classname_ | ( | ) | [static] |
Reimplemented from PLearn::PLearner.
Definition at line 48 of file SemiSupervisedDBN.cc.
OptionList & PLearn::SemiSupervisedDBN::_getOptionList_ | ( | ) | [static] |
Reimplemented from PLearn::PLearner.
Definition at line 48 of file SemiSupervisedDBN.cc.
RemoteMethodMap & PLearn::SemiSupervisedDBN::_getRemoteMethodMap_ | ( | ) | [static] |
Reimplemented from PLearn::PLearner.
Definition at line 48 of file SemiSupervisedDBN.cc.
Reimplemented from PLearn::PLearner.
Definition at line 48 of file SemiSupervisedDBN.cc.
Object * PLearn::SemiSupervisedDBN::_new_instance_for_typemap_ | ( | ) | [static] |
Reimplemented from PLearn::Object.
Definition at line 48 of file SemiSupervisedDBN.cc.
StaticInitializer SemiSupervisedDBN::_static_initializer_ & PLearn::SemiSupervisedDBN::_static_initialize_ | ( | ) | [static] |
Reimplemented from PLearn::PLearner.
Definition at line 48 of file SemiSupervisedDBN.cc.
void PLearn::SemiSupervisedDBN::build | ( | ) | [virtual] |
Finish building the object; just call inherited::build followed by build_()
Reimplemented from PLearn::PLearner.
Definition at line 140 of file SemiSupervisedDBN.cc.
References PLearn::PLearner::build(), and build_().
{ inherited::build(); build_(); }
void PLearn::SemiSupervisedDBN::build_ | ( | ) | [private] |
This does the actual building.
Reimplemented from PLearn::PLearner.
Definition at line 73 of file SemiSupervisedDBN.cc.
References i.
Referenced by build().
{ bool rbms_need_build = false; if (layer_sizes.length() != rbms.size()+1) rbms_need_build = true; else { n_rbms = rbms.size(); for (int i=0; i<n_rbms; i++) { if (layer_sizes[i] != rbms[i]->input_size) { rbms_need_build = true; break; } if (layer_is_supervised[i] && (rbms[i]->target_size != n_target)) { rbms_need_build = true; break; } if (!layer_is_supervised[i] && (rbms[i]->target_size != 0)) { rbms_need_build = true; break; } if (layer_sizes[i+1] != rbms[i]->hidden_size) { rbms_need_build = true; break; } } } if (rbms_need_build) build_rbms(); }
string PLearn::SemiSupervisedDBN::classname | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 48 of file SemiSupervisedDBN.cc.
void PLearn::SemiSupervisedDBN::computeCostsFromOutputs | ( | const Vec & | input, |
const Vec & | output, | ||
const Vec & | target, | ||
Vec & | costs | ||
) | const [virtual] |
Computes the costs from already computed output.
Implements PLearn::PLearner.
Definition at line 227 of file SemiSupervisedDBN.cc.
{ // Compute the costs from *already* computed output. // ... }
Computes the output from the input.
Reimplemented from PLearn::PLearner.
Definition at line 219 of file SemiSupervisedDBN.cc.
{ // Compute the output from the input. // int nout = outputsize(); // output.resize(nout); // ... }
void PLearn::SemiSupervisedDBN::declareOptions | ( | OptionList & | ol | ) | [static, protected] |
Declares the class options.
Reimplemented from PLearn::PLearner.
Definition at line 59 of file SemiSupervisedDBN.cc.
References PLearn::OptionBase::buildoption, PLearn::declareOption(), and PLearn::PLearner::declareOptions().
{ // declareOption(ol, "myoption", &SemiSupervisedDBN::myoption, // OptionBase::buildoption, // "Help text describing this option"); declareOption(ol, "", &SemiSupervisedDBN::, OptionBase::buildoption, ""); // Now call the parent class' declareOptions inherited::declareOptions(ol); }
static const PPath& PLearn::SemiSupervisedDBN::declaringFile | ( | ) | [inline, static] |
Reimplemented from PLearn::PLearner.
Definition at line 134 of file SemiSupervisedDBN.h.
:
//##### Protected Options ###############################################
SemiSupervisedDBN * PLearn::SemiSupervisedDBN::deepCopy | ( | CopiesMap & | copies | ) | const [virtual] |
Reimplemented from PLearn::PLearner.
Definition at line 48 of file SemiSupervisedDBN.cc.
void PLearn::SemiSupervisedDBN::forget | ( | ) | [virtual] |
(Re-)initializes the PLearner in its fresh state (that state may depend on the 'seed' option) and sets 'stage' back to 0 (this is the stage of a fresh learner!).
(Re-)initialize the PLearner in its fresh state (that state may depend on the 'seed' option) and sets 'stage' back to 0 (this is the stage of a fresh learner!)
A typical forget() method should do the following:
Reimplemented from PLearn::PLearner.
Definition at line 168 of file SemiSupervisedDBN.cc.
References PLearn::PLearner::forget().
{ inherited::forget(); }
OptionList & PLearn::SemiSupervisedDBN::getOptionList | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 48 of file SemiSupervisedDBN.cc.
OptionMap & PLearn::SemiSupervisedDBN::getOptionMap | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 48 of file SemiSupervisedDBN.cc.
RemoteMethodMap & PLearn::SemiSupervisedDBN::getRemoteMethodMap | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 48 of file SemiSupervisedDBN.cc.
TVec< string > PLearn::SemiSupervisedDBN::getTestCostNames | ( | ) | const [virtual] |
Returns the names of the costs computed by computeCostsFromOutpus (and thus the test method).
Implements PLearn::PLearner.
Definition at line 234 of file SemiSupervisedDBN.cc.
{ // Return the names of the costs computed by computeCostsFromOutputs // (these may or may not be exactly the same as what's returned by // getTrainCostNames). // ... }
TVec< string > PLearn::SemiSupervisedDBN::getTrainCostNames | ( | ) | const [virtual] |
Returns the names of the objective costs that the train method computes and for which it updates the VecStatsCollector train_stats.
Implements PLearn::PLearner.
Definition at line 242 of file SemiSupervisedDBN.cc.
{ // Return the names of the objective costs that the train method computes // and for which it updates the VecStatsCollector train_stats // (these may or may not be exactly the same as what's returned by // getTestCostNames). // ... }
void PLearn::SemiSupervisedDBN::makeDeepCopyFromShallowCopy | ( | CopiesMap & | copies | ) | [virtual] |
Transforms a shallow copy into a deep copy.
Reimplemented from PLearn::PLearner.
Definition at line 147 of file SemiSupervisedDBN.cc.
References PLearn::PLearner::makeDeepCopyFromShallowCopy(), and PLERROR.
{ inherited::makeDeepCopyFromShallowCopy(copies); // ### Call deepCopyField on all "pointer-like" fields // ### that you wish to be deepCopied rather than // ### shallow-copied. // ### ex: // deepCopyField(trainvec, copies); // ### Remove this line when you have fully implemented this method. PLERROR("SemiSupervisedDBN::makeDeepCopyFromShallowCopy not fully (correctly) implemented yet!"); }
int PLearn::SemiSupervisedDBN::outputsize | ( | ) | const [virtual] |
Returns the size of this learner's output, (which typically may depend on its inputsize(), targetsize() and set options).
Implements PLearn::PLearner.
Definition at line 162 of file SemiSupervisedDBN.cc.
{ // Compute and return the size of this learner's output (which typically // may depend on its inputsize(), targetsize() and set options). }
void PLearn::SemiSupervisedDBN::train | ( | ) | [virtual] |
The role of the train method is to bring the learner up to stage==nstages, updating the train_stats collector with training costs measured on-line in the process.
Implements PLearn::PLearner.
Definition at line 183 of file SemiSupervisedDBN.cc.
{ // The role of the train method is to bring the learner up to // stage==nstages, updating train_stats with training costs measured // on-line in the process. /* TYPICAL CODE: static Vec input; // static so we don't reallocate memory each time... static Vec target; // (but be careful that static means shared!) input.resize(inputsize()); // the train_set's inputsize() target.resize(targetsize()); // the train_set's targetsize() real weight; // This generic PLearner method does a number of standard stuff useful for // (almost) any learner, and return 'false' if no training should take // place. See PLearner.h for more details. if (!initTrain()) return; while(stage<nstages) { // clear statistics of previous epoch train_stats->forget(); //... train for 1 stage, and update train_stats, // using train_set->getExample(input, target, weight) // and train_stats->update(train_costs) ++stage; train_stats->finalize(); // finalize statistics for this epoch } */ }
Reimplemented from PLearn::PLearner.
Definition at line 134 of file SemiSupervisedDBN.h.