scikit-learn 0.23.2 Other versions
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00:38.114 total execution time for auto_examples_gaussian_process files:
Gaussian process classification (GPC) on iris dataset (plot_gpc_iris.py)
plot_gpc_iris.py
00:11.989
0.0 MB
Comparison of kernel ridge and Gaussian process regression (plot_compare_gpr_krr.py)
plot_compare_gpr_krr.py
00:08.570
Gaussian process regression (GPR) with noise-level estimation (plot_gpr_noisy.py)
plot_gpr_noisy.py
00:06.039
Probabilistic predictions with Gaussian process classification (GPC) (plot_gpc.py)
plot_gpc.py
00:05.596
Illustration of prior and posterior Gaussian process for different kernels (plot_gpr_prior_posterior.py)
plot_gpr_prior_posterior.py
00:02.344
Illustration of Gaussian process classification (GPC) on the XOR dataset (plot_gpc_xor.py)
plot_gpc_xor.py
00:01.849
Gaussian Processes regression: basic introductory example (plot_gpr_noisy_targets.py)
plot_gpr_noisy_targets.py
00:00.849
Gaussian processes on discrete data structures (plot_gpr_on_structured_data.py)
plot_gpr_on_structured_data.py
00:00.490
Iso-probability lines for Gaussian Processes classification (GPC) (plot_gpc_isoprobability.py)
plot_gpc_isoprobability.py
00:00.374
Gaussian process regression (GPR) on Mauna Loa CO2 data. (plot_gpr_co2.py)
plot_gpr_co2.py
00:00.013
