8000 DOC add link to plot_gpr_on_structured_data example in gaussian_proce… · jeremiedbb/scikit-learn@f29c100 · GitHub
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DOC add link to plot_gpr_on_structured_data example in gaussian_process (scikit-learn#31150)
Co-authored-by: adrinjalali <adrin.jalali@gmail.com>
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doc/modules/gaussian_process.rst

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@@ -236,8 +236,10 @@ translations in the input space, while non-stationary kernels
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depend also on the specific values of the datapoints. Stationary kernels can further
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be subdivided into isotropic and anisotropic kernels, where isotropic kernels are
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also invariant to rotations in the input space. For more details, we refer to
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Chapter 4 of [RW2006]_. For guidance on how to best combine different kernels,
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we refer to [Duv2014]_.
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Chapter 4 of [RW2006]_. :ref:`This example
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<sphx_glr_auto_examples_gaussian_process_plot_gpr_on_structured_data.py>`
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shows how to define a custom kernel over discrete data. For guidance on how to best
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combine different kernels, we refer to [Duv2014]_.
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.. dropdown:: Gaussian Process Kernel API
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