recipe galaxy-ml

APIs for Galaxy machine learning tools

Homepage

https://github.com/goeckslab/Galaxy-ML

License

MIT

Recipe

/galaxy-ml/meta.yaml

package galaxy-ml

Versions

0.8.2-1,  0.8.2-0,  0.8.1-0,  0.8.0-0,  0.7.12-0,  0.7.11-0,  0.7.10-1,  0.7.10-0,  0.7.9-0, 

0.8.2-1,  0.8.2-0,  0.8.1-0,  0.8.0-0,  0.7.12-0,  0.7.11-0,  0.7.10-1,  0.7.10-0,  0.7.9-0,  0.7.8-0,  0.7.7-1,  0.7.7-0,  0.7.5-0,  0.7.4.1-0

Depends

• asteval >=0.9.13

• graphviz >=2.38.0

• imbalanced-learn 0.5.0

• joblib >=0.13.2

• keras 2.3.1

• libgcc-ng >=7.5.0

• libstdcxx-ng >=7.5.0

• matplotlib >=2.2.4

• mlxtend 0.17.0

• numpy 1.17.3

• pandas 0.25.3

• pillow >=6.0.0

• plotly 4.3.0

• psutil >=5.6.5

• pydot >=1.4.1

• pyfaidx

• pytabix

• python >=3.6,<3.7.0a0

• python_abi 3.6.* *_cp36m

• readme_renderer >=24.0

• requests >=2.22.0

• scikit-learn 0.21.3

• scipy >=1.3.1

• skrebate 0.6

• tabix

• tensorflow 1.15.0

• xgboost 0.80

Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install galaxy-ml

and update with:

conda update galaxy-ml

or use the docker container:

docker pull quay.io/biocontainers/galaxy-ml:<tag>

(see galaxy-ml/tags for valid values for <tag>)

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/galaxy-ml/README.html)