recipe mlpy

mlpy is a Python module for Machine Learning built on top of NumPy/SciPy and the GNU Scientific Libraries.

Homepage:

http://mlpy.sourceforge.net/index.html

Documentation:

http://mlpy.sourceforge.net/docs

Developer docs:

http://hg.code.sf.net/p/mlpy/code/

License:

GPL3

Recipe:

/mlpy/meta.yaml

package mlpy

versions:

3.5.0-3,  3.5.0-2,  3.5.0-1,  3.5.0-0

depends gsl:

>=1.11

depends gsl:

>=2.7,<2.8.0a0

depends libgcc-ng:

>=10.3.0

depends libstdcxx-ng:

>=10.3.0

depends numpy:

>=1.3.0

depends python:

>=2.7,<2.8.0a0

depends python_abi:

2.7.* *_cp27mu

depends scipy:

>=0.7.0

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 mlpy

and update with::

   mamba update mlpy

To create a new environment, run:

mamba create --name myenvname mlpy

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/mlpy:<tag>

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

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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/mlpy/README.html)