torchtree-scipy
is a package that enhances the functionalities of torchtree by incorporating additional features from SciPy.
git clone https://github.com/4ment/torchtree-scipy
pip install torchtree-scipy/
You can install torchtree-scipy
and its dependencies from PyPI with:
pip install torchtree-scipy
If the installation was succesfull, this command should print the version of the torchtree_scipy
library
python -c "import torchtree_scipy;print(torchtree_scipy.__version__)"
The torchtree-scipy
plugin adds these arguments to the torchtree CLI:
torchtree-cli advi --help
...
--scipy_gamma_site use the GammaSiteModel implemented with SciPy
This model implements the discretized gamma distribution to model rate heterogeity accross sites. The gradient of this model with respect to the shape parameter is calculated numerically using finite differences.
The easiest way to use this model is to use the argument --scipy_gamma_site
. This sets the type of the site model to torchtree_scipy.GammaSiteModel
in the JSON configuration file. The default step size is epsilon=1.0e-6
but it can be changed manually in the JSON file.
Distributed under the GPLv3 License. See LICENSE for more information.
torchtree-scipy makes use of the following libraries and tools, which are under their own respective licenses: