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General Documentation Manual Tutorial Class Reference Master Thesis Examples Related Papers Downloads Links News mailto:webmaster Main Page     Class Hierarchy   Compound List   File List   Compound Members   File Members CTorchGradientFunction Class Reference Class for learning with Torch-Gradient machines. More... #include <ctorchvfunction.h> Inheritance diagram for CTorchGradientFunction: List of all members. Public Member Functions   CTorchGradientFunction (int numInputs, int numOutputs)   Creates a new value function learning with a torch gradient machine.   CTorchGradientFunction (GradientMachine *machine) virtual  ~CTorchGradientFunction () virtual void  resetData ()   Resets the parameters of the gradient machine. virtual void  updateWeights (CFeatureList *gradientFeatures)   Interface for updating the weights. virtual int  getNumWeights ()   Returns the number of weights. virtual void  getInputDerivationPre (ColumnVector *input, Matrix *targetVector)   Interface function for calculating the input gradient, only optional and not implemented by all classes. virtual void  getFunctionValuePre (ColumnVector *input, ColumnVector *output)   Interface for calculating the output value. virtual void  getWeights (double *parameters)   Function for getting all weights. virtual void  setWeights (double *parameters)   Function for setting all weights. virtual void  getGradientPre (ColumnVector *input, ColumnVector *outputErrors, CFeatureList *gradientFeatures)   Interface for calculating the gradient given the input and the outputerror. void  setGradientMachine (GradientMachine *gradientMachine) GradientMachine *  getGradientMachine () Protected Attributes Sequence *  alpha GradientMachine *  gradientMachine   Pointer to the gradient Machine. CAdaptiveEtaCalculator *  localEtaCalc Detailed Description Class for learning with Torch-Gradient machines. Extends the ability from CTorchVFunction, to learn with a torch gradient machine. The parameters of the machine are updated by adding the current gradient of the parameters multplied with the difference given by updateValue. Constructor & Destructor Documentation CTorchGradientFunction::CTorchGradientFunction (  int  numInputs, int  numOutputs )    Creates a new value function learning with a torch gradient machine. CTorchGradientFunction::CTorchGradientFunction (  GradientMachine *  machine  )  virtual CTorchGradientFunction::~CTorchGradientFunction (   )  [virtual] Member Function Documentation virtual void CTorchGradientFunction::getFunctionValuePre (  ColumnVector *  input, ColumnVector *  output )  [virtual]   Interface for calculating the output value. Implements CGradientFunction. GradientMachine* CTorchGradientFunction::getGradientMachine (   )  virtual void CTorchGradientFunction::getGradientPre (  ColumnVector *  input, ColumnVector *  outputErrors, CFeatureList *  gradientFeatures )  [virtual]   Interface for calculating the gradient given the input and the outputerror. Implements CGradientFunction. virtual void CTorchGradientFunction::getInputDerivationPre (  ColumnVector *  input, Matrix *  targetVector )  [virtual]   Interface function for calculating the input gradient, only optional and not implemented by all classes. Reimplemented from CGradientFunction. virtual int CTorchGradientFunction::getNumWeights (   )  [virtual]   Returns the number of weights. Implements CGradientUpdateFunction. virtual void CTorchGradientFunction::getWeights (  double *  parameters  )  [virtual]   Function for getting all weights. The double array is assumed to be large enough. This isn't checked! Implements CGradientUpdateFunction. virtual void CTorchGradientFunction::resetData (   )  [virtual]   Resets the parameters of the gradient machine. Implements CGradientUpdateFunction. void CTorchGradientFunction::setGradientMachine (  GradientMachine *  gradientMachine  )  virtual void CTorchGradientFunction::setWeights (  double *  parameters  )  [virtual]   Function for setting all weights. The double array is assumed to be large enough. This isn't checked! Implements CGradientUpdateFunction. virtual void CTorchGradientFunction::updateWeights (  CFeatureList *  gradientFeatures  )  [virtual]   Interface for updating the weights. Implements CGradientUpdateFunction. Member Data Documentation Sequence* CTorchGradientFunction::alpha [protected] GradientMachine* CTorchGradientFunction::gradientMachine [protected]   Pointer to the gradient Machine. CAdaptiveEtaCalculator* CTorchGradientFunction::localEtaCalc [protected] The documentation for this class was generated from the following file: ctorchvfunction.h