PLearn 0.1
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#include <MultiSampleVariable.h>
Public Member Functions | |
MultiSampleVariable () | |
Default constructor, usually does nothing. | |
MultiSampleVariable (Variable *input, int groupsize) | |
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 MultiSampleVariable * | 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_ () |
MultiSampleVariable. | |
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 | |
int | groupsize |
### declare public option fields (such as build options) here Start your comments with Doxygen-compatible comments such as //! | |
PP< PRandom > | random_gen |
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. | |
void | sample_range (Vec &x, Vec &y, int start, int length) |
Definition at line 58 of file MultiSampleVariable.h.
typedef UnaryVariable PLearn::MultiSampleVariable::inherited [private] |
Reimplemented from PLearn::UnaryVariable.
Definition at line 60 of file MultiSampleVariable.h.
PLearn::MultiSampleVariable::MultiSampleVariable | ( | ) | [inline] |
Default constructor, usually does nothing.
Definition at line 75 of file MultiSampleVariable.h.
: groupsize(-1) {}
Constructor.
Definition at line 58 of file MultiSampleVariable.cc.
References build_().
: inherited(input, input->length(), input->width()), groupsize(groupsize), random_gen(NULL) { build_(); }
string PLearn::MultiSampleVariable::_classname_ | ( | ) | [static] |
Reimplemented from PLearn::UnaryVariable.
Definition at line 53 of file MultiSampleVariable.cc.
OptionList & PLearn::MultiSampleVariable::_getOptionList_ | ( | ) | [static] |
Reimplemented from PLearn::UnaryVariable.
Definition at line 53 of file MultiSampleVariable.cc.
RemoteMethodMap & PLearn::MultiSampleVariable::_getRemoteMethodMap_ | ( | ) | [static] |
Reimplemented from PLearn::UnaryVariable.
Definition at line 53 of file MultiSampleVariable.cc.
Reimplemented from PLearn::UnaryVariable.
Definition at line 53 of file MultiSampleVariable.cc.
Object * PLearn::MultiSampleVariable::_new_instance_for_typemap_ | ( | ) | [static] |
Reimplemented from PLearn::UnaryVariable.
Definition at line 53 of file MultiSampleVariable.cc.
StaticInitializer MultiSampleVariable::_static_initializer_ & PLearn::MultiSampleVariable::_static_initialize_ | ( | ) | [static] |
Reimplemented from PLearn::UnaryVariable.
Definition at line 53 of file MultiSampleVariable.cc.
void PLearn::MultiSampleVariable::bprop | ( | ) | [virtual] |
Nothing to do by default.
Reimplemented from PLearn::UnaryVariable.
Definition at line 106 of file MultiSampleVariable.cc.
{}
void PLearn::MultiSampleVariable::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 115 of file MultiSampleVariable.cc.
References PLearn::UnaryVariable::build(), and build_().
{ inherited::build(); build_(); }
void PLearn::MultiSampleVariable::build_ | ( | ) | [private] |
This does the actual building.
Reimplemented from PLearn::UnaryVariable.
Definition at line 161 of file MultiSampleVariable.cc.
References groupsize, PLearn::UnaryVariable::input, PLERROR, and PLearn::Var::width().
Referenced by build(), and MultiSampleVariable().
{ // ### 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. if (groupsize <= 0) PLERROR("Groupsize(s) not specified or invalid in MultiSampleVariable"); if (input->width() % groupsize != 0) PLERROR("Invalid groupsize in MultiSampleVariable (%i does not divide %i)", groupsize, input->width()); }
string PLearn::MultiSampleVariable::classname | ( | ) | const [virtual] |
Reimplemented from PLearn::UnaryVariable.
Definition at line 53 of file MultiSampleVariable.cc.
void PLearn::MultiSampleVariable::declareOptions | ( | OptionList & | ol | ) | [static, protected] |
Declares the class options.
Reimplemented from PLearn::UnaryVariable.
Definition at line 134 of file MultiSampleVariable.cc.
References PLearn::OptionBase::buildoption, PLearn::declareOption(), PLearn::UnaryVariable::declareOptions(), groupsize, 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, "groupsizes", &MultiSampleVariable::groupsizes, // OptionBase::buildoption, // "this tells how to \"divide\" our diffrents inputs\nex: groupsizes = [1,2,3] says we divide our output like this :\n[x1],[x2,x3],[x4,x5,x6] and apply a maximum algorithm on each group separately"); declareOption(ol, "groupsize", &MultiSampleVariable::groupsize, OptionBase::buildoption, "shortcut if you want all groupsizes to be equals, for example if you set the value of this option to be 3, it will make groupsizes = [3,3,...,3]"); declareOption(ol, "random_gen", &MultiSampleVariable::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::MultiSampleVariable::declaringFile | ( | ) | [inline, static] |
Reimplemented from PLearn::UnaryVariable.
Definition at line 102 of file MultiSampleVariable.h.
:
//##### Protected Options ###############################################
MultiSampleVariable * PLearn::MultiSampleVariable::deepCopy | ( | CopiesMap & | copies | ) | const [virtual] |
Reimplemented from PLearn::UnaryVariable.
Definition at line 53 of file MultiSampleVariable.cc.
void PLearn::MultiSampleVariable::fprop | ( | ) | [virtual] |
Nothing to do by default.
Reimplemented from PLearn::UnaryVariable.
Definition at line 76 of file MultiSampleVariable.cc.
References PLearn::PRandom::common(), groupsize, i, PLearn::UnaryVariable::input, PLearn::PP< T >::isNull(), PLearn::TVec< T >::length(), PLearn::TMat< T >::length(), PLearn::Variable::matValue, n, random_gen, sample_range(), and PLearn::Variable::width().
{ if(random_gen.isNull()) random_gen = PRandom::common(false); int k; Mat inputValue = input->matValue; Vec inputValue_n; Vec value_n; for(int n=0; n<inputValue.length(); n++) { k=0; inputValue_n = inputValue(n); value_n = matValue(n); //we set all values to 0. before sampling "ones" for (int i=0; i<value_n.length(); i++) value_n[i]=0.; while ( k < this->width() ) { sample_range(inputValue_n, value_n, k, groupsize); k+=groupsize; } } }
OptionList & PLearn::MultiSampleVariable::getOptionList | ( | ) | const [virtual] |
Reimplemented from PLearn::UnaryVariable.
Definition at line 53 of file MultiSampleVariable.cc.
OptionMap & PLearn::MultiSampleVariable::getOptionMap | ( | ) | const [virtual] |
Reimplemented from PLearn::UnaryVariable.
Definition at line 53 of file MultiSampleVariable.cc.
RemoteMethodMap & PLearn::MultiSampleVariable::getRemoteMethodMap | ( | ) | const [virtual] |
Reimplemented from PLearn::UnaryVariable.
Definition at line 53 of file MultiSampleVariable.cc.
void PLearn::MultiSampleVariable::makeDeepCopyFromShallowCopy | ( | CopiesMap & | copies | ) | [virtual] |
Transforms a shallow copy into a deep copy.
Reimplemented from PLearn::UnaryVariable.
Definition at line 121 of file MultiSampleVariable.cc.
References PLearn::UnaryVariable::makeDeepCopyFromShallowCopy().
{ inherited::makeDeepCopyFromShallowCopy(copies); // ### Call deepCopyField on all "pointer-like" fields // ### that you wish to be deepCopied rather than // ### shallow-copied. // ### ex: //deepCopyField(groupsizes, 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 66 of file MultiSampleVariable.cc.
References PLearn::UnaryVariable::input, PLearn::Var::length(), and PLearn::Var::width().
void PLearn::MultiSampleVariable::sample_range | ( | Vec & | x, |
Vec & | y, | ||
int | start, | ||
int | length | ||
) | [private] |
Definition at line 185 of file MultiSampleVariable.cc.
References random_gen, and PLearn::TVec< T >::subVec().
Referenced by fprop().
{ if(length != 1) { y[start+random_gen->multinomial_sample(x.subVec(start,length))] = 1; } else // if groupsize == 1 { Vec temp(2); temp[0] = 1.-x[start]; temp[1] = temp[0]; y[start] = random_gen->multinomial_sample(temp); } }
Reimplemented from PLearn::UnaryVariable.
Definition at line 102 of file MultiSampleVariable.h.
### declare public option fields (such as build options) here Start your comments with Doxygen-compatible comments such as //!
Definition at line 67 of file MultiSampleVariable.h.
Referenced by build_(), declareOptions(), and fprop().
Definition at line 69 of file MultiSampleVariable.h.
Referenced by declareOptions(), fprop(), and sample_range().