recipe bioconductor-koinar

KoinaR - Remote machine learning inference using Koina

Homepage:

https://bioconductor.org/packages/3.20/bioc/html/koinar.html

License:

Apache License 2.0

Recipe:

/bioconductor-koinar/meta.yaml

A client to simplify fetching predictions from the Koina web service. Koina is a model repository enabling the remote execution of models. Predictions are generated as a response to HTTP/S requests, the standard protocol used for nearly all web traffic.

package bioconductor-koinar

(downloads) docker_bioconductor-koinar

versions:

1.0.0-0

depends r-base:

>=4.4,<4.5.0a0

depends r-httr:

depends r-jsonlite:

requirements:

additional platforms:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see 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-koinar

and update with::

   mamba update bioconductor-koinar

To create a new environment, run:

mamba create --name myenvname bioconductor-koinar

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-koinar:<tag>

(see `bioconductor-koinar/tags`_ for valid values for ``<tag>``)

Download stats

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-koinar/README.html)