recipe bioconductor-biocsklearn

interface to python sklearn via Rstudio reticulate

Homepage:

https://bioconductor.org/packages/3.16/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.

package bioconductor-biocsklearn

Versions:

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, 

1.20.0-0,  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

Depends:

• bioconductor-basilisk >=1.9.0,<1.10.0

• bioconductor-basilisk.utils >=1.10.0,<1.11.0

• bioconductor-summarizedexperiment >=1.28.0,<1.29.0

• python >=2.7

• r-base >=4.2,<4.3.0a0

• r-reticulate

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-biocsklearn

and update with:

conda update bioconductor-biocsklearn

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-biocsklearn:<tag>

(see bioconductor-biocsklearn/tags for valid values for <tag>)

Download stats

Link to this page

Render an 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)