recipe biobb_ml

Biobb_ml is the Biobb module collection to perform machine learning predictions.

Homepage:

https://github.com/bioexcel/biobb_ml

License:

APACHE / Apache Software License

Recipe:

/biobb_ml/meta.yaml

# biobb_ml

### Introduction Biobb_ml is the Biobb module collection to perform machine learning predictions. Biobb (BioExcel building blocks) packages are Python building blocks that create new layer of compatibility and interoperability over popular bioinformatics tools. The latest documentation of this package can be found in our readthedocs site: [latest API documentation](http://biobb_ml.readthedocs.io/en/latest/).

### Copyright & Licensing This software has been developed in the [MMB group](https://mmb.irbbarcelona.org) at the [BSC](https://www.bsc.es/) & [IRB](https://www.irbbarcelona.org/) for the [European BioExcel](http://bioexcel.eu/), funded by the European Commission (EU H2020 [823830](http://cordis.europa.eu/projects/823830), EU H2020 [675728](http://cordis.europa.eu/projects/675728)).

* (c) 2015-2023 [Barcelona Supercomputing Center](https://www.bsc.es/) * (c) 2015-2023 [Institute for Research in Biomedicine](https://www.irbbarcelona.org/) Licensed under the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0), see the file LICENSE for details.


package biobb_ml

Versions:

4.0.0-1,  4.0.0-0,  3.9.0-0,  3.8.0-0,  3.7.0-2,  3.7.0-1,  3.7.0-0,  3.6.1-1,  3.6.1-0, 

4.0.0-1,  4.0.0-0,  3.9.0-0,  3.8.0-0,  3.7.0-2,  3.7.0-1,  3.7.0-0,  3.6.1-1,  3.6.1-0,  3.6.0-0,  3.5.0-3,  3.5.0-2,  3.5.0-1,  3.5.0-0,  3.0.2-0,  3.0.1-3,  3.0.1-2,  3.0.1-1,  3.0.1-0

Depends:

• biobb_common 4.0.0

• h5py 2.10.0

• imbalanced-learn 0.7.0

• numpy 1.19.5

• pandas 1.3.0

• python >=3.7,<3.10

• scikit-learn 0.24.2

• seaborn 0.10.1

• tensorflow >=2.4.2

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install biobb_ml

and update with:

conda update biobb_ml

or use the docker container:

docker pull quay.io/biocontainers/biobb_ml:<tag>

(see biobb_ml/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/biobb_ml/README.html)