Loadable Function: y = gpr_predict (GPM,X)

Loadable Function: [y,sig] = gpr_predict (GPM,X)

Loadable Function: [y,sig,dy] = gpr_predict (GPM,X)

Uses the model GPM to predict values, standard deviations and model derivatives in spatial points. X is the matrix of independent variables. (The organization is determined by GPM.theta, as in gpr_train).

y is set to the predicted dependent variable values. If sig is requested, it is set to the estimated prediction deviations. If dy is requested, it is populated with the prediction gradients.

See also: gpr_train gpr_setup