AddDecomposableEvaluateWithGradientConst< FunctionType, true, false > Class Template Reference

If we have both a decomposable const Evaluate() and a decomposable const Gradient() but not a decomposable const EvaluateWithGradient(), add a decomposable const EvaluateWithGradient() method. More...

Public Member Functions
double	EvaluateWithGradient (const arma::mat &coordinates, const size_t begin, arma::mat &gradient, const size_t batchSize) const
	Return both the evaluated objective function and its gradient, storing the gradient in the given matrix, starting at the given decomposable function and using the given batch size. More...

Detailed Description

template

<

typename

FunctionType

>

class mlpack::optimization::AddDecomposableEvaluateWithGradientConst< FunctionType, true, false >

If we have both a decomposable const Evaluate() and a decomposable const Gradient() but not a decomposable const EvaluateWithGradient(), add a decomposable const EvaluateWithGradient() method.

Definition at line 157 of file add_decomposable_evaluate_with_gradient.hpp.

Member Function Documentation

EvaluateWithGradient()

double EvaluateWithGradient ( const arma::mat &  coordinates, const size_t  begin, arma::mat &  gradient, const size_t  batchSize  ) const

inline

Return both the evaluated objective function and its gradient, storing the gradient in the given matrix, starting at the given decomposable function and using the given batch size.

Parameters

coordinates	Coordinates to evaluate the function at.
begin	Index of decomposable function to begin with.
gradient	Matrix to store the gradient into.
batchSize	Number of decomposable functions to evaluate.

Definition at line 170 of file add_decomposable_evaluate_with_gradient.hpp.

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The documentation for this class was generated from the following file:

• src/mlpack/core/optimizers/function/add_decomposable_evaluate_with_gradient.hpp