Computation times

00:19.461 total execution time for auto_examples_gaussian_process files:

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

00:08.687

0.0 MB

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

00:03.434

0.0 MB

Ability of Gaussian process regression (GPR) to estimate data noise-level (plot_gpr_noisy.py)

00:02.571

0.0 MB

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

00:02.026

0.0 MB

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

00:01.176

0.0 MB

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

00:00.791

0.0 MB

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

00:00.425

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Gaussian processes on discrete data structures (plot_gpr_on_structured_data.py)

00:00.214

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

00:00.135

0.0 MB

Forecasting of CO2 level on Mona Loa dataset using Gaussian process regression (GPR) (plot_gpr_co2.py)

00:00.002

0.0 MB