recipe kopt

Keras-hyperopt (kopt); Hyper-parameter tuning for Keras using hyperopt.

Homepage:

https://github.com/avsecz/keras-hyperopt

License:

MIT / MIT

Recipe:

/kopt/meta.yaml

package kopt

versions:

0.1.0-2,  0.1.0-1,  0.1.0-0

depends future:

depends hyperopt:

depends keras:

>=2.0.4

depends matplotlib:

depends numpy:

depends pandas:

depends python:

depends pyyaml:

depends scikit-learn:

>=0.18

depends scipy:

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 kopt

and update with::

   mamba update kopt

To create a new environment, run:

mamba create --name myenvname kopt

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/kopt:<tag>

(see `kopt/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/kopt/README.html)