:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'bioconductor-biocsklearn' .. highlight: bash bioconductor-biocsklearn ======================== .. conda:recipe:: bioconductor-biocsklearn :replaces_section_title: :noindex: interface to python sklearn via Rstudio reticulate :homepage: https://bioconductor.org/packages/3.18/bioc/html/BiocSklearn.html :license: Artistic-2.0 :recipe: /`bioconductor-biocsklearn `_/`meta.yaml `_ This package provides interfaces to selected sklearn elements\, and demonstrates fault tolerant use of python modules requiring extensive iteration. .. conda:package:: bioconductor-biocsklearn |downloads_bioconductor-biocsklearn| |docker_bioconductor-biocsklearn| :versions: .. raw:: html
1.24.0-01.22.0-01.20.0-01.16.0-31.16.0-21.16.0-11.16.0-01.14.0-01.12.0-1 ``1.24.0-0``,  ``1.22.0-0``,  ``1.20.0-0``,  ``1.16.0-3``,  ``1.16.0-2``,  ``1.16.0-1``,  ``1.16.0-0``,  ``1.14.0-0``,  ``1.12.0-1``,  ``1.12.0-0``,  ``1.10.3-1``,  ``1.10.3-0``,  ``1.8.0-0``,  ``1.6.0-1``,  ``1.4.0-0`` .. raw:: html
:depends bioconductor-basilisk: ``>=1.14.0,<1.15.0`` :depends bioconductor-summarizedexperiment: ``>=1.32.0,<1.33.0`` :depends python: ``>=2.7`` :depends r-base: ``>=4.3,<4.4.0a0`` :depends r-reticulate: :requirements: .. rubric:: Installation You need a conda-compatible package manager (currently either `micromamba `_, `mamba `_, or `conda `_) and the Bioconda channel already activated (see :ref:`set-up-channels`). While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see `here `_ for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others. Given that you already have a conda environment in which you want to have this package, install with:: mamba install bioconductor-biocsklearn and update with:: mamba update bioconductor-biocsklearn To create a new environment, run:: mamba create --name myenvname bioconductor-biocsklearn with ``myenvname`` being a reasonable name for the environment (see e.g. the `mamba docs `_ for details and further options). Alternatively, use the docker container:: docker pull quay.io/biocontainers/bioconductor-biocsklearn: (see `bioconductor-biocsklearn/tags`_ for valid values for ````) .. |downloads_bioconductor-biocsklearn| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-biocsklearn.svg?style=flat :target: https://anaconda.org/bioconda/bioconductor-biocsklearn :alt: (downloads) .. |docker_bioconductor-biocsklearn| image:: https://quay.io/repository/biocontainers/bioconductor-biocsklearn/status :target: https://quay.io/repository/biocontainers/bioconductor-biocsklearn .. _`bioconductor-biocsklearn/tags`: https://quay.io/repository/biocontainers/bioconductor-biocsklearn?tab=tags .. raw:: html Download stats ----------------- .. raw:: html :file: ../../templates/package_dashboard.html Link to this page ----------------- Render an |install-with-bioconda| badge with the following MarkDown:: [![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-biocsklearn/README.html) .. |install-with-bioconda| image:: https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat :target: http://bioconda.github.io/recipes/bioconductor-biocsklearn/README.html