From 4c65d0859450765233df577f1953a5b86b361adb Mon Sep 17 00:00:00 2001 From: ash <99674179+ashbleu@users.noreply.github.com> Date: Sat, 5 Apr 2025 11:12:07 +0100 Subject: [PATCH 1/3] DOC add link to plot_gpr_on_structured_data example in gaussian_process --- doc/modules/gaussian_process.rst | 1 + 1 file changed, 1 insertion(+) diff --git a/doc/modules/gaussian_process.rst b/doc/modules/gaussian_process.rst index 4990649624f18..4f1254776cc39 100644 --- a/doc/modules/gaussian_process.rst +++ b/doc/modules/gaussian_process.rst @@ -94,6 +94,7 @@ the API of standard scikit-learn estimators, :class:`GaussianProcessRegressor`: * :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpr_noisy.py` * :ref:`sphx_glr_auto_examples_gaussian_process_plot_compare_gpr_krr.py` * :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpr_co2.py` +* :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpr_on_structured_data.py` .. _gpc: From 21b41fe511996d562a28274c9f8db7ec2c2fd922 Mon Sep 17 00:00:00 2001 From: ash <99674179+ashbleu@users.noreply.github.com> Date: Sat, 12 Apr 2025 14:37:15 +0100 Subject: [PATCH 2/3] Move link to the GP kernels section --- doc/modules/gaussian_process.rst | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/doc/modules/gaussian_process.rst b/doc/modules/gaussian_process.rst index 4f1254776cc39..3764cc4cbd04a 100644 --- a/doc/modules/gaussian_process.rst +++ b/doc/modules/gaussian_process.rst @@ -94,7 +94,6 @@ the API of standard scikit-learn estimators, :class:`GaussianProcessRegressor`: * :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpr_noisy.py` * :ref:`sphx_glr_auto_examples_gaussian_process_plot_compare_gpr_krr.py` * :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpr_co2.py` -* :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpr_on_structured_data.py` .. _gpc: @@ -237,8 +236,9 @@ translations in the input space, while non-stationary kernels depend also on the specific values of the datapoints. Stationary kernels can further be subdivided into isotropic and anisotropic kernels, where isotropic kernels are also invariant to rotations in the input space. For more details, we refer to -Chapter 4 of [RW2006]_. For guidance on how to best combine different kernels, -we refer to [Duv2014]_. +Chapter 4 of [RW2006]_. :ref:`This example` +shows how to define a custom kernel over discrete data. For guidance on how to best +combine different kernels, we refer to [Duv2014]_. .. dropdown:: Gaussian Process Kernel API From f4c1cb9a302ef27cd9cb89128bc6881d9dd070f6 Mon Sep 17 00:00:00 2001 From: adrinjalali Date: Tue, 6 May 2025 11:54:42 +0200 Subject: [PATCH 3/3] line length --- doc/modules/gaussian_process.rst | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/doc/modules/gaussian_process.rst b/doc/modules/gaussian_process.rst index 3764cc4cbd04a..4bbc2e7824136 100644 --- a/doc/modules/gaussian_process.rst +++ b/doc/modules/gaussian_process.rst @@ -236,7 +236,8 @@ translations in the input space, while non-stationary kernels depend also on the specific values of the datapoints. Stationary kernels can further be subdivided into isotropic and anisotropic kernels, where isotropic kernels are also invariant to rotations in the input space. For more details, we refer to -Chapter 4 of [RW2006]_. :ref:`This example` +Chapter 4 of [RW2006]_. :ref:`This example +` shows how to define a custom kernel over discrete data. For guidance on how to best combine different kernels, we refer to [Duv2014]_.