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Merge branch 'main' of github.com:DoubleML/doubleml-docs into m-nonlinear-score-mixin
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‎.github/workflows/deploy_docu_dev.yml

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steps:
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- name: Check out the repo containing the docu source
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uses: actions/checkout@v2
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uses: actions/checkout@v3
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- name: Check out the repo containing the python pkg DoubleML (dev)
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uses: actions/checkout@v2
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uses: actions/checkout@v3
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with:
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repository: DoubleML/doubleml-for-py
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path: doubleml-for-py
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- name: Install SSH Client for deploying the docu to github pages
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uses: webfactory/[email protected]
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with:
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ssh-private-key: ${{ secrets.DEPLOY_KEY }}
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- name: Install graphviz
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run: sudo apt-get install graphviz
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- name: Install python
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uses: actions/setup-python@v2
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uses: actions/setup-python@v4
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with:
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python-version: '3.8'
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- name: Install dependencies and the python package
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shell: Rscript {0}
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- name: Cache R packages
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uses: actions/cache@v2
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uses: actions/cache@v3
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with:
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path: ${{ env.R_LIBS_USER }}
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key: doubleml-user-guide-dev-${{ hashFiles('.github/R-version') }}
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make -C doc html # build docu
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- name: Deploy to dev
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uses: JamesIves/github-pages-deploy-action@3.7.1
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uses: JamesIves/github-pages-deploy-action@v4
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with:
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REPOSITORY_NAME: DoubleML/doubleml.github.io
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BRANCH: main
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FOLDER: doc/_build/html
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TARGET_FOLDER: dev
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GIT_CONFIG_NAME: DoubleML Deploy Bot
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GIT_CONFIG_EMAIL: [email protected]
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CLEAN: true
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SSH: true
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repository-name: DoubleML/doubleml.github.io
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branch: main
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folder: doc/_build/html
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target-folder: dev
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git-config-name: DoubleML Deploy Bot
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git-config-email: [email protected]
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clean: true
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ssh-key: ${{ secrets.DEPLOY_KEY }}

‎.github/workflows/deploy_docu_stable.yml

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steps:
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- name: Check out the repo containing the docu source
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uses: actions/checkout@v2
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- name: Install SSH Client for deploying the docu to github pages
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uses: webfactory/[email protected]
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with:
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ssh-private-key: ${{ secrets.DEPLOY_KEY }}
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uses: actions/checkout@v3
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- name: Install graphviz
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run: sudo apt-get install graphviz
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- name: Install python
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uses: actions/setup-python@v2
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uses: actions/setup-python@v4
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with:
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python-version: '3.8'
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- name: Install dependencies and the python package
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shell: Rscript {0}
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- name: Cache R packages
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uses: actions/cache@v2
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uses: actions/cache@v3
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with:
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path: ${{ env.R_LIBS_USER }}
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key: doubleml-user-guide-stable-${{ hashFiles('.github/R-version') }}
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make -C doc html # build docu
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- name: Deploy to stable
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uses: JamesIves/github-pages-deploy-action@3.7.1
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uses: JamesIves/github-pages-deploy-action@v4
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with:
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REPOSITORY_NAME: DoubleML/doubleml.github.io
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BRANCH: main
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FOLDER: doc/_build/html
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TARGET_FOLDER: stable
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GIT_CONFIG_NAME: DoubleML Deploy Bot
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GIT_CONFIG_EMAIL: [email protected]
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CLEAN: true
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SSH: true
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repository-name: DoubleML/doubleml.github.io
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branch: main
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folder: doc/_build/html
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target-folder: stable
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git-config-name: DoubleML Deploy Bot
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git-config-email: [email protected]
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clean: true
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ssh-key: ${{ secrets.DEPLOY_KEY }}

‎.github/workflows/test_build_docu_dev.yml

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steps:
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- name: Check out the repo containing the docu source
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uses: actions/checkout@v2
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uses: actions/checkout@v3
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- name: Check out the repo containing the python pkg DoubleML (dev)
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if: ${{ github.event_name != 'workflow_dispatch' }}
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uses: actions/checkout@v2
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uses: actions/checkout@v3
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with:
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repository: DoubleML/doubleml-for-py
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path: doubleml-for-py
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- name: Check out the repo containing the python pkg DoubleML (dev)
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if: ${{ github.event_name == 'workflow_dispatch' }}
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uses: actions/checkout@v2
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uses: actions/checkout@v3
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with:
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repository: DoubleML/doubleml-for-py
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path: doubleml-for-py
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run: sudo apt-get install graphviz
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- name: Install python
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uses: actions/setup-python@v2
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uses: actions/setup-python@v4
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with:
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python-version: '3.8'
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- name: Install dependencies and the python package
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shell: Rscript {0}
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- name: Cache R packages
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uses: actions/cache@v2
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uses: actions/cache@v3
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with:
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path: ${{ env.R_LIBS_USER }}
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key: doubleml-test-build-dev-${{ hashFiles('.github/R-version') }}
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make -C doc linkcheck
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- name: Upload html artifacts
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uses: actions/upload-artifact@v2
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uses: actions/upload-artifact@v3
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with:
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name: build_html
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path: doc/_build/html/

‎.github/workflows/test_build_docu_released.yml

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steps:
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- name: Check out the repo containing the docu source
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uses: actions/checkout@v2
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uses: actions/checkout@v3
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- name: Install graphviz
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run: sudo apt-get install graphviz
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- name: Install python
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uses: actions/setup-python@v2
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uses: actions/setup-python@v4
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with:
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python-version: '3.8'
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- name: Install dependencies and the python package
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shell: Rscript {0}
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- name: Cache R packages
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uses: actions/cache@v2
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uses: actions/cache@v3
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with:
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path: ${{ env.R_LIBS_USER }}
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key: doubleml-test-build-stable-${{ hashFiles('.github/R-version') }}
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make -C doc linkcheck
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- name: Upload html artifacts
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uses: actions/upload-artifact@v2
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uses: actions/upload-artifact@v3
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with:
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name: build_html
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path: doc/_build/html/

‎doc/guide/learners.rst

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@@ -420,7 +420,7 @@ The entries in the list specify options during parameter tuning with `mlr3tuning
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`Tuner <https://mlr3tuning.mlr-org.com/reference/Tuner.html>`_ and specifies the tuning algorithm.
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Alternatively, ``algorithm`` can be a ``character()`` that is used as an argument in the wrapper
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`mlr3tuning <https://mlr3tuning.mlr-org.com/>`_ call
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`tnr(algorithm) <https://mlr3tuning.mlr-org.com/reference/mlr_sugar.html>`_.
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`tnr(algorithm) <https://mlr3tuning.mlr-org.com/reference/tnr.html>`_.
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`The corresponding chapter in the mlr3book <https://mlr3book.mlr-org.com/optimization.html#sec-model-tuning>`_ illustrates
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how the `Tuner <https://mlr3tuning.mlr-org.com/reference/Tuner.html>`_ class supports grid search, random search,
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generalized simulated annealing and non-linear optimization.

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