recipe miidl

A Python package for microbial biomarkers identification powered by interpretable deep learning

Homepage:

https://github.com/chunribu/miidl/

License:

MIT / MIT

Recipe:

/miidl/meta.yaml

package miidl

versions:

0.0.5-0,  0.0.4-0,  0.0.2-0

depends pandas:

depends python:

depends pytorch:

depends scikit-learn:

depends torchvision:

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 miidl

and update with::

   mamba update miidl

To create a new environment, run:

mamba create --name myenvname miidl

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/miidl:<tag>

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

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