PLearn 0.1
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#include <BernoulliSampleVariable.h>
Public Member Functions | |
BernoulliSampleVariable () | |
Default constructor, usually does nothing. | |
BernoulliSampleVariable (Variable *input) | |
Constructor. | |
virtual void | recomputeSize (int &l, int &w) const |
Recomputes the length l and width w that this variable should have, according to its parent variables. | |
virtual void | fprop () |
Nothing to do by default. | |
virtual void | bprop () |
Nothing to do by default. | |
virtual string | classname () const |
virtual OptionList & | getOptionList () const |
virtual OptionMap & | getOptionMap () const |
virtual RemoteMethodMap & | getRemoteMethodMap () const |
virtual BernoulliSampleVariable * | deepCopy (CopiesMap &copies) const |
virtual void | build () |
Post-constructor. | |
virtual void | makeDeepCopyFromShallowCopy (CopiesMap &copies) |
Transforms a shallow copy into a deep copy. | |
Static Public Member Functions | |
static string | _classname_ () |
BernoulliSampleVariable. | |
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 | |
PP< PRandom > | random_gen |
### declare public option fields (such as build options) here Start your comments with Doxygen-compatible comments such as //! | |
Static Public Attributes | |
static StaticInitializer | _static_initializer_ |
Static Protected Member Functions | |
static void | declareOptions (OptionList &ol) |
Declares the class options. | |
Private Types | |
typedef UnaryVariable | inherited |
Private Member Functions | |
void | build_ () |
This does the actual building. |
Definition at line 58 of file BernoulliSampleVariable.h.
typedef UnaryVariable PLearn::BernoulliSampleVariable::inherited [private] |
Reimplemented from PLearn::UnaryVariable.
Definition at line 60 of file BernoulliSampleVariable.h.
PLearn::BernoulliSampleVariable::BernoulliSampleVariable | ( | ) | [inline] |
Default constructor, usually does nothing.
Definition at line 74 of file BernoulliSampleVariable.h.
{}
PLearn::BernoulliSampleVariable::BernoulliSampleVariable | ( | Variable * | input | ) |
Constructor.
Definition at line 56 of file BernoulliSampleVariable.cc.
References build_().
string PLearn::BernoulliSampleVariable::_classname_ | ( | ) | [static] |
Reimplemented from PLearn::UnaryVariable.
Definition at line 51 of file BernoulliSampleVariable.cc.
OptionList & PLearn::BernoulliSampleVariable::_getOptionList_ | ( | ) | [static] |
Reimplemented from PLearn::UnaryVariable.
Definition at line 51 of file BernoulliSampleVariable.cc.
RemoteMethodMap & PLearn::BernoulliSampleVariable::_getRemoteMethodMap_ | ( | ) | [static] |
Reimplemented from PLearn::UnaryVariable.
Definition at line 51 of file BernoulliSampleVariable.cc.
Reimplemented from PLearn::UnaryVariable.
Definition at line 51 of file BernoulliSampleVariable.cc.
Object * PLearn::BernoulliSampleVariable::_new_instance_for_typemap_ | ( | ) | [static] |
Reimplemented from PLearn::UnaryVariable.
Definition at line 51 of file BernoulliSampleVariable.cc.
StaticInitializer BernoulliSampleVariable::_static_initializer_ & PLearn::BernoulliSampleVariable::_static_initialize_ | ( | ) | [static] |
Reimplemented from PLearn::UnaryVariable.
Definition at line 51 of file BernoulliSampleVariable.cc.
void PLearn::BernoulliSampleVariable::bprop | ( | ) | [virtual] |
Nothing to do by default.
Reimplemented from PLearn::UnaryVariable.
Definition at line 88 of file BernoulliSampleVariable.cc.
{}
void PLearn::BernoulliSampleVariable::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::UnaryVariable.
Definition at line 98 of file BernoulliSampleVariable.cc.
References PLearn::UnaryVariable::build(), and build_().
{ inherited::build(); build_(); }
void PLearn::BernoulliSampleVariable::build_ | ( | ) | [private] |
This does the actual building.
Reimplemented from PLearn::UnaryVariable.
Definition at line 136 of file BernoulliSampleVariable.cc.
Referenced by BernoulliSampleVariable(), and 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::BernoulliSampleVariable::classname | ( | ) | const [virtual] |
Reimplemented from PLearn::UnaryVariable.
Definition at line 51 of file BernoulliSampleVariable.cc.
void PLearn::BernoulliSampleVariable::declareOptions | ( | OptionList & | ol | ) | [static, protected] |
Declares the class options.
Reimplemented from PLearn::UnaryVariable.
Definition at line 117 of file BernoulliSampleVariable.cc.
References PLearn::OptionBase::buildoption, PLearn::declareOption(), PLearn::UnaryVariable::declareOptions(), and random_gen.
{ // ### 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. If you don't provide one of these three, // ### this option will be ignored when loading values from a script. // ### You can also combine flags, for example with OptionBase::nosave: // ### (OptionBase::buildoption | OptionBase::nosave) // ### ex: declareOption(ol, "random_gen", &BernoulliSampleVariable::random_gen, OptionBase::buildoption, "Random number generator. If null, the PRandom::common(false) generator will be used."); // Now call the parent class' declareOptions inherited::declareOptions(ol); }
static const PPath& PLearn::BernoulliSampleVariable::declaringFile | ( | ) | [inline, static] |
Reimplemented from PLearn::UnaryVariable.
Definition at line 100 of file BernoulliSampleVariable.h.
:
//##### Protected Options ###############################################
BernoulliSampleVariable * PLearn::BernoulliSampleVariable::deepCopy | ( | CopiesMap & | copies | ) | const [virtual] |
Reimplemented from PLearn::UnaryVariable.
Definition at line 51 of file BernoulliSampleVariable.cc.
void PLearn::BernoulliSampleVariable::fprop | ( | ) | [virtual] |
Nothing to do by default.
Reimplemented from PLearn::UnaryVariable.
Definition at line 73 of file BernoulliSampleVariable.cc.
References PLearn::UnaryVariable::checkContiguity(), PLearn::PRandom::common(), i, PLearn::UnaryVariable::input, PLearn::PP< T >::isNull(), PLearn::Variable::nelems(), random_gen, and PLearn::Variable::valuedata.
{ checkContiguity(); if(random_gen.isNull()) random_gen = PRandom::common(false); int l = nelems(); real* valueptr = valuedata; real* inputvalueptr = input->valuedata; for(int i=0; i<l; i++) *valueptr++ = random_gen->binomial_sample(*inputvalueptr++); }
OptionList & PLearn::BernoulliSampleVariable::getOptionList | ( | ) | const [virtual] |
Reimplemented from PLearn::UnaryVariable.
Definition at line 51 of file BernoulliSampleVariable.cc.
OptionMap & PLearn::BernoulliSampleVariable::getOptionMap | ( | ) | const [virtual] |
Reimplemented from PLearn::UnaryVariable.
Definition at line 51 of file BernoulliSampleVariable.cc.
RemoteMethodMap & PLearn::BernoulliSampleVariable::getRemoteMethodMap | ( | ) | const [virtual] |
Reimplemented from PLearn::UnaryVariable.
Definition at line 51 of file BernoulliSampleVariable.cc.
void PLearn::BernoulliSampleVariable::makeDeepCopyFromShallowCopy | ( | CopiesMap & | copies | ) | [virtual] |
Transforms a shallow copy into a deep copy.
Reimplemented from PLearn::UnaryVariable.
Definition at line 104 of file BernoulliSampleVariable.cc.
References PLearn::deepCopyField(), PLearn::UnaryVariable::makeDeepCopyFromShallowCopy(), and random_gen.
{ inherited::makeDeepCopyFromShallowCopy(copies); // ### Call deepCopyField on all "pointer-like" fields // ### that you wish to be deepCopied rather than // ### shallow-copied. // ### ex: deepCopyField(random_gen, copies); // ### If you want to deepCopy a Var field: // varDeepCopyField(somevariable, copies); }
Recomputes the length l and width w that this variable should have, according to its parent variables.
This is used for ex. by sizeprop() The default version stupidly returns the current dimensions, so make sure to overload it in subclasses if this is not appropriate.
Reimplemented from PLearn::Variable.
Definition at line 63 of file BernoulliSampleVariable.cc.
References PLearn::UnaryVariable::input, PLearn::Var::length(), and PLearn::Var::width().
Reimplemented from PLearn::UnaryVariable.
Definition at line 100 of file BernoulliSampleVariable.h.
### declare public option fields (such as build options) here Start your comments with Doxygen-compatible comments such as //!
Definition at line 68 of file BernoulliSampleVariable.h.
Referenced by declareOptions(), fprop(), and makeDeepCopyFromShallowCopy().