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PLearn::MiniBatchClassificationLossVariable Class Reference

#include <MiniBatchClassificationLossVariable.h>

Inheritance diagram for PLearn::MiniBatchClassificationLossVariable:

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List of all members.

Public Member Functions

 MiniBatchClassificationLossVariable ()
 Default constructor for persistence.

 MiniBatchClassificationLossVariable (Variable *netout, Variable *classnum)
 PLEARN_DECLARE_OBJECT (MiniBatchClassificationLossVariable)
virtual void build ()
 Should call simply inherited::build(), then this class's build_().

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 ()
 compute output given input

virtual void bprop ()
 can't bprop through a hard classification error...

virtual void symbolicBprop ()
 compute a piece of new Var graph that represents the symbolic derivative of this Var


Protected Member Functions

void build_ ()

Private Types

typedef BinaryVariable inherited

Member Typedef Documentation

typedef BinaryVariable PLearn::MiniBatchClassificationLossVariable::inherited [private]
 

Reimplemented from PLearn::BinaryVariable.

Definition at line 54 of file MiniBatchClassificationLossVariable.h.

Referenced by MiniBatchClassificationLossVariable().


Constructor & Destructor Documentation

PLearn::MiniBatchClassificationLossVariable::MiniBatchClassificationLossVariable  )  [inline]
 

Default constructor for persistence.

Definition at line 58 of file MiniBatchClassificationLossVariable.h.

PLearn::MiniBatchClassificationLossVariable::MiniBatchClassificationLossVariable Variable netout,
Variable classnum
 

Definition at line 55 of file MiniBatchClassificationLossVariable.cc.

References build_(), and inherited.


Member Function Documentation

virtual void PLearn::MiniBatchClassificationLossVariable::bprop  )  [inline, virtual]
 

can't bprop through a hard classification error...

Implements PLearn::Variable.

Definition at line 68 of file MiniBatchClassificationLossVariable.h.

void PLearn::MiniBatchClassificationLossVariable::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::Variable.

Definition at line 62 of file MiniBatchClassificationLossVariable.cc.

References build_().

void PLearn::MiniBatchClassificationLossVariable::build_  )  [protected]
 

This method should be redefined in subclasses and do the actual building of the object according to previously set option fields. Constructors can just set option fields, and then call build_. This method is NOT virtual, and will typically be called only from three places: a constructor, the public virtual build() method, and possibly the public virtual read method (which calls its parent's read). build_() can assume that it's parent's build_ has already been called.

Reimplemented from PLearn::Variable.

Definition at line 69 of file MiniBatchClassificationLossVariable.cc.

References PLERROR.

Referenced by build(), and MiniBatchClassificationLossVariable().

void PLearn::MiniBatchClassificationLossVariable::fprop  )  [virtual]
 

compute output given input

Implements PLearn::Variable.

Definition at line 86 of file MiniBatchClassificationLossVariable.cc.

References PLearn::argmax(), PLearn::Var::column(), PLearn::Var::length(), PLERROR, PLearn::Var::row(), and PLearn::Var::width().

PLearn::MiniBatchClassificationLossVariable::PLEARN_DECLARE_OBJECT MiniBatchClassificationLossVariable   ) 
 

void PLearn::MiniBatchClassificationLossVariable::recomputeSize int l,
int w
const [virtual]
 

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 77 of file MiniBatchClassificationLossVariable.cc.

References PLearn::Var::length(), and PLearn::Var::width().

void PLearn::MiniBatchClassificationLossVariable::symbolicBprop  )  [virtual]
 

compute a piece of new Var graph that represents the symbolic derivative of this Var

Reimplemented from PLearn::Variable.

Definition at line 107 of file MiniBatchClassificationLossVariable.cc.

References PLERROR.


The documentation for this class was generated from the following files:
Generated on Tue Aug 17 16:25:15 2004 for PLearn by doxygen 1.3.7