Computation times

00:18.152 total execution time for auto_examples_gaussian_process files:

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

00:08.944

0.0 MB

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

00:03.014

0.0 MB

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

00:01.987

0.0 MB

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

00:01.813

0.0 MB

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

00:00.986

0.0 MB

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

00:00.729

0.0 MB

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

00:00.377

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Gaussian processes on discrete data structures (plot_gpr_on_structured_data.py)

00:00.182

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

00:00.118

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