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| template<class InputType , class M , class Device > |
| void | shark::calculateRegularizedKernelMatrix (AbstractKernelFunction< InputType >const &kernel, Data< InputType > const &dataset, blas::matrix_expression< M, Device > &matrix, double regularizer=0) |
| | Calculates the regularized kernel gram matrix of the points stored inside a dataset. More...
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| template<class InputType , class M , class Device > |
| void | shark::calculateMixedKernelMatrix (AbstractKernelFunction< InputType >const &kernel, Data< InputType > const &dataset1, Data< InputType > const &dataset2, blas::matrix_expression< M, Device > &matrix) |
| | Calculates the kernel gram matrix between two data sets. More...
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| template<class InputType > |
| RealMatrix | shark::calculateRegularizedKernelMatrix (AbstractKernelFunction< InputType >const &kernel, Data< InputType > const &dataset, double regularizer=0) |
| | Calculates the regularized kernel gram matrix of the points stored inside a dataset. More...
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| template<class InputType > |
| RealMatrix | shark::calculateMixedKernelMatrix (AbstractKernelFunction< InputType >const &kernel, Data< InputType > const &dataset1, Data< InputType > const &dataset2) |
| | Calculates the kernel gram matrix between two data sets. More...
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| template<class InputType , class WeightMatrix > |
| RealVector | shark::calculateKernelMatrixParameterDerivative (AbstractKernelFunction< InputType > const &kernel, Data< InputType > const &dataset, WeightMatrix const &weights) |
| | Efficiently calculates the weighted derivative of a Kernel Gram Matrix w.r.t the Kernel Parameters. More...
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