Gaussian Process with Active Learning

Documentation for package ‘gptools2’ version 0.1.10

gptools2-package	Import functions
absolute_error	Absoute error between two vectors
active_learning	Active learning with surrogate function
compare	Compare two vectors
euclidean	Compute the Euclidean distance of two vectors
gp	Gaussian Process
gptools2	Import functions
gp_d	Gaussian Process with derivative (SE kernel)
gp_surrogate	Gaussian Process surrogate function
kcov	Compute the covariance matrix
kernel_template	Kernel template
log_det	Compute the log determinant
map_row	Map f over each row of a matrix x
matern_kernel	Matern kernel
mgp	Multivariate Gaussian Process
predict_gp	Predict using the Gaussian Process
predict_gp_d	Predict using the Gaussian Process (with derivative)
predict_mgp	Predict using the Multivariate Gaussian Process
rational_quadratic_kernel	Rational quadratic kernel
relative_error	Relative error between two vectors
rq_kernel	Rational quadratic kernel
se_kernel	Squared exponential kernel
squared_exponential	Squared exponential kernel
squared_exponential_d	Squared exponential kernel