Man pages for JimSkinner/gpclassifier
Implements a Gaussian Process binary Classifier
| covarFun | Construtor method of CovarFun class |
| CovarFun-class | Class CovarFun. |
| covarFun.LatentPlusNoise | Augment 'CovarFun' with latent function and noise... |
| covarFun.SE | Squared Exponential covariance function. |
| EP | Calculate site parameters, likelihood and likelihood gradient... |
| getCovarFun | GPC Return the covariance function (class 'CovarFun') used. |
| getDLml | Return partial derivatives of the log marginal likelihood... |
| getHP | Return the list of hyperparameters. |
| getK | GPC Return the covariance matrix; the matrix of inner... |
| getKernel | Return kernel function k:x,y -> numeric(). Differs from the... |
| getKernelGrad | Return kernel gradient function k:x,y -> list(). As with... |
| getLml | Return log marginal likelihood. |
| GPC | Class GPC. |
| hpTune | Return maximum likelihood covariance function hyperparameters |
| predict-GPC-method | Predict labels from unlabelled data. |
| setHP-set | Change the 'CovarFun' hyperparameter list to the list... |
| update-set | Update 'X', 'Y' or 'covarFun' |
