D | |
| Deriv [Gpr_interfaces.Sigs] |
Modules for learning with derivatives of the log evidence (evidence
maximization framework)
|
| Deriv [Gpr_interfaces.Specs] |
Derivatives of covariance functions
|
| Deriv_sig [Gpr_fitc_gp] | |
E | |
| Eval [Gpr_interfaces.Sigs] |
Modules for learning without derivatives of covariance functions.
|
| Eval [Gpr_interfaces.Specs] |
Evaluation of covariance functions
|
K | |
| Kernel [Gpr_interfaces.Specs] |
Signature of kernels and their parameters
|
O | |
| Optimizer [Gpr_interfaces.Sigs] |
Modules for global optimization
|
| Optimizer [Gpr_interfaces.Specs] |
Derivatives of inputs for global optimization.
|
S | |
| Sig [Gpr_fitc_gp] | |
| Sig [Gpr_fitc_gp.Make_deriv] | |
| Sig [Gpr_fitc_gp.Make] |