Implementations

Latent(*[, mean_func, cov_func])	Latent Gaussian process.
LatentKron(*[, mean_func, cov_funcs])	Latent Gaussian process whose covariance is a tensor product kernel.
Marginal(*[, mean_func, cov_func])	Marginal Gaussian process.
MarginalKron(*[, mean_func, cov_funcs])	Marginal Gaussian process whose covariance is a tensor product kernel.
MarginalApprox([approx, mean_func, cov_func])	Approximate marginal Gaussian process.
TP(*[, mean_func, scale_func, cov_func, nu])	Student's T process prior.