Computation times

00:21.700 total execution time for auto_examples_gaussian_process files:

Gaussian process regression (GPR) on Mauna Loa CO2 data (plot_gpr_co2.py)

00:09.054

0.0 MB

Gaussian process classification (GPC) on iris dataset (plot_gpc_iris.py)

00:03.116

0.0 MB

Comparison of kernel ridge and Gaussian process regression (plot_compare_gpr_krr.py)

00:03.078

0.0 MB

Gaussian process regression (GPR) with noise-level estimation (plot_gpr_noisy.py)

00:02.431

0.0 MB

Probabilistic predictions with Gaussian process classification (GPC) (plot_gpc.py)

00:01.823

0.0 MB

Illustration of prior and posterior Gaussian process for different kernels (plot_gpr_prior_posterior.py)

00:01.034

0.0 MB

Gaussian Processes regression: basic introductory example (plot_gpr_noisy_targets.py)

00:00.440

0.0 MB

Illustration of Gaussian process classification (GPC) on the XOR dataset (plot_gpc_xor.py)

00:00.390

0.0 MB

Gaussian processes on discrete data structures (plot_gpr_on_structured_data.py)

00:00.190

0.0 MB

Iso-probability lines for Gaussian Processes classification (GPC) (plot_gpc_isoprobability.py)

00:00.145

0.0 MB