#include <gp.hpp>
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| | kernel_class () |
| | Kernel Class definition. More...
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| virtual | ~kernel_class ()=default |
| | Destructor. More...
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| virtual arma::mat | eval (const arma::mat &X, const arma::mat &Y, bool diag=false) const =0 |
| | Evaluates the kernel function over the provided matrices. More...
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| virtual arma::mat | derivate (size_t param_id, const arma::mat &X, const arma::mat &Y, bool diag=false) const =0 |
| | Returns the value of the derivative wrt a certain parameter with a a particular pair of input matrices. More...
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| virtual size_t | n_params () const =0 |
| | Returns the number of params needed by the kernel. More...
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| virtual void | set_params (const std::vector< double > ¶ms)=0 |
| | Sets the parameters of the kernel using the proided vector. More...
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| virtual void | set_lower_bounds (const std::vector< double > &lower_bounds)=0 |
| | Sets the lower bounds to be used by the kernel during training process. More...
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| virtual void | set_upper_bounds (const std::vector< double > &upper_bounds)=0 |
| | Sets the upper bounds to be used by the kernel during training process. More...
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| virtual std::vector< double > | get_params () const =0 |
| | Returns a vector with the current values of the parameters of the kernel. More...
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| virtual std::vector< double > | get_lower_bounds () const =0 |
| | Returns a vector with the current values of the lower_bounds for each of the parameters of the kernel. More...
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| virtual std::vector< double > | get_upper_bounds () const =0 |
| | Returns a vector with the current values of the upper_bounds for each of the parameters of the kernel. More...
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| gplib::kernel_class::kernel_class |
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inline |
Kernel Class definition.
Constructor
| virtual gplib::kernel_class::~kernel_class |
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virtualdefault |
| virtual arma::mat gplib::kernel_class::derivate |
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size_t |
param_id, |
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const arma::mat & |
X, |
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const arma::mat & |
Y, |
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bool |
diag = false |
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) |
| const |
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pure virtual |
Returns the value of the derivative wrt a certain parameter with a a particular pair of input matrices.
- Parameters
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| param_id | : Identifier of the parameter we are derivating with respect to. |
| X | : First matrix for derivative evaluation. |
| Y | : Second matrix for derivative evaluation. |
| diag | : Flag, if it is true the kernel should only be evaluated for the derivative entries pertaining to the diagonal of the answer matrix, this is due to performance reasons while using FITC. |
Implemented in gplib::kernels::squared_exponential.
| virtual arma::mat gplib::kernel_class::eval |
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const arma::mat & |
X, |
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const arma::mat & |
Y, |
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bool |
diag = false |
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) |
| const |
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pure virtual |
Evaluates the kernel function over the provided matrices.
- Parameters
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| X | : First matrix for kernel evaluation. |
| Y | : Second matrix for kernel evaluation. |
| diag | : Flag, if it is true the kernel should only be evaluated for the entries pertaining to the diagonal of the answer matrix, this is due to performance reasons while using FITC. |
Implemented in gplib::kernels::squared_exponential.
| virtual std::vector<double> gplib::kernel_class::get_lower_bounds |
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const |
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pure virtual |
| virtual std::vector<double> gplib::kernel_class::get_params |
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const |
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pure virtual |
| virtual std::vector<double> gplib::kernel_class::get_upper_bounds |
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const |
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pure virtual |
| virtual size_t gplib::kernel_class::n_params |
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const |
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pure virtual |
| virtual void gplib::kernel_class::set_lower_bounds |
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const std::vector< double > & |
lower_bounds | ) |
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pure virtual |
Sets the lower bounds to be used by the kernel during training process.
- Parameters
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| lower_bounds | : Vector containing the lower bounds to be used. |
Implemented in gplib::kernels::squared_exponential.
| virtual void gplib::kernel_class::set_params |
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const std::vector< double > & |
params | ) |
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pure virtual |
Sets the parameters of the kernel using the proided vector.
- Parameters
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| params | : vector containing all the parameters needed by the kernel. |
Implemented in gplib::kernels::squared_exponential.
| virtual void gplib::kernel_class::set_upper_bounds |
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const std::vector< double > & |
upper_bounds | ) |
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pure virtual |
Sets the upper bounds to be used by the kernel during training process.
- Parameters
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| upper_bounds | : Vector containing the upper bounds to be used. |
Implemented in gplib::kernels::squared_exponential.
The documentation for this class was generated from the following file:
1.8.9.1
