Releases: felixleopoldo/benchpress
Releases · felixleopoldo/benchpress
v2.8.0
v2.7.1
- New algorithm modules from the huge package for estimating Gaussian graphical models: huge_glasso, huge_mb, and huge_tiger.
- Updated trilearn to version 2.0.5
- Updated docs
v2.6.1
- Mainly bug fixes, e.g. in the trilearn_pgibbs module
v2.6.0
- Added the GrUES algorithm (Alex Markham).
- Changed all occurrences of
replicate
toseed
in the code. This will unfortunately trigger a rerun of existing jobs as the scripts are changed. - Added F1 score based on the pattern graph (v-structure kept while the other edges are undirected) of a DAG.
v2.5.0
- Added the feature of taking the output of one algorithm as input for another
- Added the chordal graph MCMC learners module athomas_jtsamplers
- Fixed bugs
v2.3.0
- Updated causal-cmd to version 1.10.0.
- Added the BOSS algorithm.
v2.2.0
- Bechpress is now working through Docker on Apple MX chips.
- Several packages have been updated and the versions are stated explicitly in the Dockerfiles.
v2.1.0
* Using shell scripts for tetrad_ (causal-cmd) algorithms. * Updating docs. * Skipping hidden files (starting with .) when iterating over modules. * Adding GRaSP from causal-learn. * Adapting fges to causal-cmd 1.9.0 * Adding Tetrad GRaSP. * Fixed bug for checking if CPDAG in the benchmarks module. * Using Tetrad (causal-cmd) algorithms use version 1.9.0. * Removing some algs in tetrad.json from the comparison.
v2.0.1
- Using shell scripts for the Tetrad algorithm modules.
v2.0.0: Merge pull request #65 from felixleopoldo/dev
Maybe the largest improvement since the last version is that it has become much easier to add new modules. In the new modular coding style, each module has a separate directory. The documentation has been improved and a number of new modules have been added and existing ones have been improved.