recipe svmlight

SVMLight Library by Thorsten Joachim

Homepage:

http://svmlight.joachims.org/

License:

Modified MIT

Recipe:

/svmlight/meta.yaml

package svmlight

versions:

6.02-6,  6.02-5,  6.02-4,  6.02-3,  6.02-2,  6.02-1

depends libgcc-ng:

>=12

requirements:

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 svmlight

and update with::

   mamba update svmlight

To create a new environment, run:

mamba create --name myenvname svmlight

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/svmlight:<tag>

(see `svmlight/tags`_ for valid values for ``<tag>``)

Notes

License requires users to cite T. Joachims, Making large-Scale SVM Learning Practical. Advances in Kernel Methods - Support Vector Learning, B. Schölkopf and C. Burges and A. Smola (ed.), MIT-Press, 1999.

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