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Update CIs to scikit-learn-contrib (#6)
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.circleci/config.yml

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@@ -22,7 +22,7 @@ jobs:
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echo ${CI_PULL_REQUEST//*pull\//} | tee merge.txt
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if [[ $(cat merge.txt) != "" ]]; then
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echo "Merging $(cat merge.txt)";
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git remote add upstream https://github.com/mathurinm/skglm.git;
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git remote add upstream https://github.com/scikit-learn-contrib/skglm.git;
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git pull --ff-only upstream "refs/pull/$(cat merge.txt)/merge";
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git fetch upstream main;
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fi

README.rst

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@@ -35,16 +35,16 @@ The estimators follow the scikit-learn API, come with automated parallel cross-v
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Documentation
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=============
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Please visit https://mathurinm.github.io/skglm/ for the latest version
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Please visit https://contrib.scikit-learn.org/skglm/ for the latest version
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of the documentation.
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Install and work with the development version
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=============================================
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First clone the repository available at https://github.com/mathurinm/skglm::
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First clone the repository available at https://github.com/scikit-learn-contrib/skglm::
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$ git clone https://github.com/mathurinm/skglm.git
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$ git clone https://github.com/scikit-learn-contrib/skglm.git
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$ cd skglm/
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Then, install the package with::
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Demos & Examples
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================
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In the `example section <https://mathurinm.github.io/skglm/auto_examples/index.html>`__ of the documentation,
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In the `example section <https://contrib.scikit-learn.org/skglm/auto_examples/index.html>`__ of the documentation,
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you will find numerous examples on real-life datasets,
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timing comparison with other estimators, easy and fast ways to perform cross-validation, etc.
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- https://arxiv.org/pdf/2204.07826.pdf
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.. |image0| image:: https://github.com/mathurinm/skglm/workflows/pytest/badge.svg
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:target: https://github.com/mathurinm/skglm/actions?query=workflow%3Abuild
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.. |image0| image:: https://github.com/scikit-learn-contrib/skglm/workflows/pytest/badge.svg
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:target: https://github.com/scikit-learn-contrib/skglm/actions?query=workflow%3Abuild

doc/conf.py

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("Examples", "auto_examples/index"),
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("API", "api"),
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("Add custom penalty and datafit", "add"),
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("GitHub", "https://github.com/mathurinm/skglm", True)
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("GitHub", "https://github.com/scikit-learn-contrib/skglm", True)
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],
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'bootswatch_theme': "united"
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}

doc/index.rst

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}
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.. Installing the latest release
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.. -----------------------------
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.. Run::
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.. $ pip install scikit-contrib-skglm
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Installing the development version
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----------------------------------
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First clone the repository available at https://github.com/mathurinm/skglm::
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First clone the repository available at https://github.com/scikit-learn-contrib/skglm::
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$ git clone https://github.com/mathurinm/skglm.git
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$ git clone https://github.com/scikit-learn-contrib/skglm.git
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$ cd skglm/
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Then, install the package with::

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