Johannes Buchner
Johannes Buchner
Hi, I wanted to show a small demo of Diffusive Nested Sampling in comparison to other techniques. I set up two gaussian shells which work as a spike-slab model in...
In setup.py, when the `from Cython.Build import cythonize` import fails, we should display a nice error message to the user, saying "please install cython first".
Would you be interested to add support for https://johannesbuchner.github.io/UltraNest/ ? The interface should be very similar to dynesty. UltraNest is a very reliable tuning-parameter-free algorithm. It can be faster than...
**Describe the bug** importing threeML I get the following error ``` WARNING UserWarning: Using default configuration from /home/user/.local/lib/python3.8/site-packages/threeML/data/threeML_config.yml. You might want to copy it to /home/user/.threeML/threeML_config.yml to customize it and...
**Describe the bug** Installing from a fresh conda installation failed **To Reproduce** Steps to reproduce the behavior: 0. install miniconda and mamba 1. mamba create --name threeML -c conda-forge python=3.7...
Would you be interested to add support for https://johannesbuchner.github.io/UltraNest/ ? The interface should be very similar to dynesty. UltraNest is a very reliable tuning-parameter-free algorithm. It can be faster than...
Checklist - [x] Title of this PR is meaningful: e.g. "Adding my_nifty_package", not "updated meta.yaml". - [x] License file is packaged (see [here](https://github.com/conda-forge/staged-recipes/blob/5eddbd7fc9d1502169089da06c3688d9759be978/recipes/example/meta.yaml#L64-L73) for an example). - [x] Source is...
Is it currently possible to install these models https://www.sternwarte.uni-erlangen.de/~dauser/research/relxill/index.html and fit them with sherpa?
I was making a conda recipe for one package, then realised a package that it depends on is not yet on conda-forge. Starting with the same recipe, I made the...
Would you be interested to add support for https://johannesbuchner.github.io/UltraNest/ ? The interface should be very similar to dynesty. UltraNest is a very reliable tuning-parameter-free algorithm. I have published some examples...