- recipe galaxy-ml
APIs for Galaxy machine learning tools
- Homepage
- License
MIT
- Recipe
- package galaxy-ml¶
-
- Versions
0.9.1-2
,0.9.1-1
,0.9.1-0
,0.9.0-0
,0.8.3-2
,0.8.3-1
,0.8.3-0
,0.8.2-5
,0.8.2-4
,0.9.1-2
,0.9.1-1
,0.9.1-0
,0.9.0-0
,0.8.3-2
,0.8.3-1
,0.8.3-0
,0.8.2-5
,0.8.2-4
,0.8.2-3
,0.8.2-2
,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
>=0.9.14
graphviz
>=2.40.1
h5py
>=3.1,<3.4
imbalanced-learn
>=0.8.0,<0.9
joblib
>=0.13.2,<1.0
libgcc-ng
>=10.3.0
libstdcxx-ng
>=10.3.0
mlxtend
>=0.17,<0.18
numpy
>=1.21.0,<1.22
pandas
>=1.0,<1.3
plotly
>=4.10.0,<5.0
pydot
>=1.4
python
>=3.7,<3.8.0a0
python_abi
3.7.* *_cp37m
scikit-learn
>=0.24,<0.25
scikit-optimize
>=0.9,<1.0
scipy
>=1.3.1
skrebate
>=0.60,<0.70
tensorflow
>=2.5,<2.6
tensorflow-estimator
>=2.5,<2.6
xgboost
>=1.3,<1.4
- 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>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/galaxy-ml/README.html)