From f25252f68308c057b8b0526ab3696611f9617965 Mon Sep 17 00:00:00 2001 From: Emma Carballal Haire Date: Tue, 18 Feb 2025 13:30:22 +0100 Subject: [PATCH 1/2] DOC add link to plot_gpr_noisy_targets example in _gpr.py --- sklearn/gaussian_process/_gpr.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/sklearn/gaussian_process/_gpr.py b/sklearn/gaussian_process/_gpr.py index 3c940bbde6ba4..c737aac6dd7bc 100644 --- a/sklearn/gaussian_process/_gpr.py +++ b/sklearn/gaussian_process/_gpr.py @@ -66,6 +66,9 @@ class GaussianProcessRegressor(MultiOutputMixin, RegressorMixin, BaseEstimator): used as datapoint-dependent noise level. Allowing to specify the noise level directly as a parameter is mainly for convenience and for consistency with :class:`~sklearn.linear_model.Ridge`. + For an example illustrating how the alpha parameter controls + the noise variance in Gaussian Process Regression, see + :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpr_noisy_targets.py` optimizer : "fmin_l_bfgs_b", callable or None, default="fmin_l_bfgs_b" Can either be one of the internally supported optimizers for optimizing From 8756c76498f8f89b0ef39eed9efd6a573d69c3f5 Mon Sep 17 00:00:00 2001 From: Emma Carballal <80595553+emma-carballal@users.noreply.github.com> Date: Wed, 19 Feb 2025 12:23:59 +0100 Subject: [PATCH 2/2] Add full-stop to GaussianProcessRegressor docstring Co-authored-by: Stefanie Senger <91849487+StefanieSenger@users.noreply.github.com> --- sklearn/gaussian_process/_gpr.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/sklearn/gaussian_process/_gpr.py b/sklearn/gaussian_process/_gpr.py index c737aac6dd7bc..208d6cb12a16c 100644 --- a/sklearn/gaussian_process/_gpr.py +++ b/sklearn/gaussian_process/_gpr.py @@ -68,7 +68,7 @@ class GaussianProcessRegressor(MultiOutputMixin, RegressorMixin, BaseEstimator): for consistency with :class:`~sklearn.linear_model.Ridge`. For an example illustrating how the alpha parameter controls the noise variance in Gaussian Process Regression, see - :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpr_noisy_targets.py` + :ref:`sphx_glr_auto_examples_gaussian_process_plot_gpr_noisy_targets.py`. optimizer : "fmin_l_bfgs_b", callable or None, default="fmin_l_bfgs_b" Can either be one of the internally supported optimizers for optimizing