Add junifer to conda-forge #221
2 changed files with 20 additions and 1 deletions
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@ -5,6 +5,7 @@
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[](https://anaconda.org/conda-forge/junifer)
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[](https://github.com/psf/black)
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[](https://github.com/psf/black)
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@ -34,7 +35,6 @@ The documentation is available at [https://juaml.github.io/junifer](https://juam
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* `testing`: Testing components module.
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* `testing`: Testing components module.
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* `utils`: Utilities module (e.g. logging)
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* `utils`: Utilities module (e.g. logging)
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## Installation
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## Installation
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Use `pip` to install from PyPI like so:
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Use `pip` to install from PyPI like so:
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@ -43,6 +43,12 @@ Use `pip` to install from PyPI like so:
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pip install junifer
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pip install junifer
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```
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```
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You can also install via `conda`, like so:
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```
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conda install -c conda-forge junifer
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```
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## Citation
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## Citation
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If you use junifer in a scientific publication, we would appreciate if you cite our work. Currently, we do not have a publication, so feel free to use the project [URL](https://juaml.github.io/junifer).
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If you use junifer in a scientific publication, we would appreciate if you cite our work. Currently, we do not have a publication, so feel free to use the project [URL](https://juaml.github.io/junifer).
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@ -48,6 +48,19 @@ Use ``pip`` to install julearn from `PyPI <https://pypi.org>`_, like so:
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pip install junifer
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pip install junifer
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You can also install via ``conda``, like so:
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I have addressed it in the latest commit. I have addressed it in the latest commit.
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.. code-block:: bash
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conda install -c conda-forge junifer
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.. attention::
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Installation on macOS and Windows might fail via ``conda`` due to ``datalad``.
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In that case, please refer to
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`Datalad installation instructions
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<http://handbook.datalad.org/en/latest/intro/installation.html>`_ for solutions.
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In case the problem persists, please install it via ``pip`` as mentioned earlier.
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.. _install_development_git:
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.. _install_development_git:
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Reference in a new issue
Same as above: Would it make sense to let users know that there may be some issues with git-annex/datalad on macs?