From a8df28a175253be9f41f6270a15a131c19927e5e Mon Sep 17 00:00:00 2001 From: nbrown-ScottLogic <142215175+nbrown-ScottLogic@users.noreply.github.com> Date: Tue, 11 Jun 2024 14:52:27 +0100 Subject: [PATCH 1/7] Added Outlier detection wine example to doc --- doc/modules/outlier_detection.rst | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/doc/modules/outlier_detection.rst b/doc/modules/outlier_detection.rst index 0c6891ed119bd..521705c7cfb41 100644 --- a/doc/modules/outlier_detection.rst +++ b/doc/modules/outlier_detection.rst @@ -235,7 +235,7 @@ This strategy is illustrated below. .. figure:: ../auto_examples/covariance/images/sphx_glr_plot_mahalanobis_distances_001.png :target: ../auto_examples/covariance/plot_mahalanobis_distances.html - :align: center + :align: centeran illustraion :scale: 75% .. rubric:: Examples @@ -246,6 +246,9 @@ This strategy is illustrated below. (:class:`covariance.MinCovDet`) of location and covariance to assess the degree of outlyingness of an observation. +* See :ref:`sphx_glr_auto_examples_applications_plot_plot_outlier_detection_wine.py` for an example of robust covariance estimation +on a real data set. + .. rubric:: References * Rousseeuw, P.J., Van Driessen, K. "A fast algorithm for the minimum From 65e6fc69b68871f96d2d35a865e96968d3922fea Mon Sep 17 00:00:00 2001 From: nbrown-ScottLogic <142215175+nbrown-ScottLogic@users.noreply.github.com> Date: Tue, 11 Jun 2024 14:57:05 +0100 Subject: [PATCH 2/7] Update outlier_detection.rst --- doc/modules/outlier_detection.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/modules/outlier_detection.rst b/doc/modules/outlier_detection.rst index 521705c7cfb41..fda2e0c2d940b 100644 --- a/doc/modules/outlier_detection.rst +++ b/doc/modules/outlier_detection.rst @@ -235,7 +235,7 @@ This strategy is illustrated below. .. figure:: ../auto_examples/covariance/images/sphx_glr_plot_mahalanobis_distances_001.png :target: ../auto_examples/covariance/plot_mahalanobis_distances.html - :align: centeran illustraion + :align: center :scale: 75% .. rubric:: Examples From 17eb17a27ad11622ec786786dd7c3752526d4747 Mon Sep 17 00:00:00 2001 From: nbrown-ScottLogic <142215175+nbrown-ScottLogic@users.noreply.github.com> Date: Tue, 11 Jun 2024 14:57:34 +0100 Subject: [PATCH 3/7] Removed whitespace --- doc/modules/outlier_detection.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/modules/outlier_detection.rst b/doc/modules/outlier_detection.rst index fda2e0c2d940b..2fc260af1c388 100644 --- a/doc/modules/outlier_detection.rst +++ b/doc/modules/outlier_detection.rst @@ -235,7 +235,7 @@ This strategy is illustrated below. .. figure:: ../auto_examples/covariance/images/sphx_glr_plot_mahalanobis_distances_001.png :target: ../auto_examples/covariance/plot_mahalanobis_distances.html - :align: center + :align: center :scale: 75% .. rubric:: Examples From 82fadf5111c3aa42605fad074f95155bbfd83c0f Mon Sep 17 00:00:00 2001 From: nbrown-ScottLogic <142215175+nbrown-ScottLogic@users.noreply.github.com> Date: Tue, 11 Jun 2024 14:58:36 +0100 Subject: [PATCH 4/7] Fixed file ref --- doc/modules/outlier_detection.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/modules/outlier_detection.rst b/doc/modules/outlier_detection.rst index 2fc260af1c388..e1c17aeee7eb4 100644 --- a/doc/modules/outlier_detection.rst +++ b/doc/modules/outlier_detection.rst @@ -246,7 +246,7 @@ This strategy is illustrated below. (:class:`covariance.MinCovDet`) of location and covariance to assess the degree of outlyingness of an observation. -* See :ref:`sphx_glr_auto_examples_applications_plot_plot_outlier_detection_wine.py` for an example of robust covariance estimation +* See :ref:`sphx_glr_auto_examples_applications_plot_outlier_detection_wine.py` for an example of robust covariance estimation on a real data set. .. rubric:: References From adb60d812ba89bd42a886395f0d617475a8af07c Mon Sep 17 00:00:00 2001 From: nbrown-ScottLogic <142215175+nbrown-ScottLogic@users.noreply.github.com> Date: Wed, 19 Jun 2024 09:17:18 +0100 Subject: [PATCH 5/7] Fix to line length Co-authored-by: Adrin Jalali --- doc/modules/outlier_detection.rst | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/doc/modules/outlier_detection.rst b/doc/modules/outlier_detection.rst index e1c17aeee7eb4..27e847ed1c25b 100644 --- a/doc/modules/outlier_detection.rst +++ b/doc/modules/outlier_detection.rst @@ -246,8 +246,8 @@ This strategy is illustrated below. (:class:`covariance.MinCovDet`) of location and covariance to assess the degree of outlyingness of an observation. -* See :ref:`sphx_glr_auto_examples_applications_plot_outlier_detection_wine.py` for an example of robust covariance estimation -on a real data set. +* See :ref:`sphx_glr_auto_examples_applications_plot_outlier_detection_wine.py` +for an example of robust covariance estimation on a real data set. .. rubric:: References From 161efb9100a660681daaea6358f9cad6774bf9ab Mon Sep 17 00:00:00 2001 From: nbrown-ScottLogic <142215175+nbrown-ScottLogic@users.noreply.github.com> Date: Mon, 24 Jun 2024 13:49:47 +0100 Subject: [PATCH 6/7] Update outlier_detection.rst Added extra line --- doc/modules/outlier_detection.rst | 1 + 1 file changed, 1 insertion(+) diff --git a/doc/modules/outlier_detection.rst b/doc/modules/outlier_detection.rst index 27e847ed1c25b..8ebae174454a3 100644 --- a/doc/modules/outlier_detection.rst +++ b/doc/modules/outlier_detection.rst @@ -249,6 +249,7 @@ This strategy is illustrated below. * See :ref:`sphx_glr_auto_examples_applications_plot_outlier_detection_wine.py` for an example of robust covariance estimation on a real data set. + .. rubric:: References * Rousseeuw, P.J., Van Driessen, K. "A fast algorithm for the minimum From d0144e7e55ba01175572b984838d27de582eda73 Mon Sep 17 00:00:00 2001 From: nbrown-ScottLogic <142215175+nbrown-ScottLogic@users.noreply.github.com> Date: Tue, 9 Jul 2024 13:22:06 +0100 Subject: [PATCH 7/7] Update outlier_detection.rst Added indentation --- doc/modules/outlier_detection.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/modules/outlier_detection.rst b/doc/modules/outlier_detection.rst index 8ebae174454a3..a8740a68d5586 100644 --- a/doc/modules/outlier_detection.rst +++ b/doc/modules/outlier_detection.rst @@ -247,7 +247,7 @@ This strategy is illustrated below. assess the degree of outlyingness of an observation. * See :ref:`sphx_glr_auto_examples_applications_plot_outlier_detection_wine.py` -for an example of robust covariance estimation on a real data set. + for an example of robust covariance estimation on a real data set. .. rubric:: References