- recipe biobb_ml
Biobb_ml is the Biobb module collection to perform machine learning predictions.
- Homepage:
- License:
APACHE / Apache Software License
- Recipe:
# 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:
[](http://bioconda.github.io/recipes/biobb_ml/README.html)