Computation times

00:33.129 total execution time for auto_examples_gaussian_process files:

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

00:10.385

0.0 MB

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

00:05.934

0.0 MB

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

00:05.792

0.0 MB

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

00:05.161

0.0 MB

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

00:02.747

0.0 MB

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

00:01.788

0.0 MB

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

00:00.531

0.0 MB

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

00:00.477

0.0 MB

Gaussian processes on discrete data structures (plot_gpr_on_structured_data.py)

00:00.306

0.0 MB

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

00:00.009

0.0 MB