API
GP
GP.x_data
GP.y_data
GP.noise_variances
GP.update_gp_data()
GP.train()
GP.train_async()
GP.stop_training()
GP.kill_training()
GP.update_hyperparameters()
GP.set_hyperparameters()
GP.get_hyperparameters()
GP.get_prior_pdf()
GP.log_likelihood()
GP.test_log_likelihood_gradient()
GP.posterior_mean()
GP.posterior_mean_grad()
GP.posterior_covariance()
GP.posterior_covariance_grad()
GP.joint_gp_prior()
GP.joint_gp_prior_grad()
GP.entropy()
GP.gp_entropy()
GP.gp_entropy_grad()
GP.kl_div_grad()
GP.kl_div()
GP.gp_kl_div()
GP.gp_kl_div_grad()
GP.mutual_information()
GP.gp_mutual_information()
GP.gp_total_correlation()
GP.gp_relative_information_entropy()
GP.gp_relative_information_entropy_set()
GP.posterior_probability()
GP.posterior_probability_grad()
GP.normalize_y_data()
GP.crps()
GP.rmse()
GP.make_2d_x_pred()
GP.make_1d_x_pred()
GP.prior.hyperparameters
GP.prior.K
GP.prior.m
GP.marginal_density.KVinv
GP.marginal_density.KVlogdet
GP.likelihood.V
fvGP
fvGP.x_data
fvGP.y_data
fvGP.fvgp_x_data
fvGP.fvgp_y_data
fvGP.noise_variances
fvGP.update_gp_data()
fvGP.prior.hyperparameters
fvGP.prior.K
fvGP.prior.m
fvGP.marginal_density.KVinv
fvGP.marginal_density.KVlogdet
fvGP.likelihood.V
Examples