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Releases: felixleopoldo/benchpress

v2.7.1

22 Jan 10:38
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  • 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

04 Dec 14:29
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  • Mainly bug fixes, e.g. in the trilearn_pgibbs module

v2.6.0

16 Nov 10:48
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  • Added the GrUES algorithm (Alex Markham).
  • Changed all occurrences of replicate to seed 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

26 Oct 14:13
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  • 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

19 Sep 09:16
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  • Updated causal-cmd to version 1.10.0.
  • Added the BOSS algorithm.

v2.2.0

08 Sep 08:18
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  • 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

03 Aug 20:28
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* 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

29 Jul 17:16
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  • Using shell scripts for the Tetrad algorithm modules.

v2.0.0: Merge pull request #65 from felixleopoldo/dev

24 Jul 07:05
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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.

v1.2.1

27 Jul 14:01
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What's new?

  • added all structure learning algorithms from gCastle.
  • the graph_plots module now also generates a difference adjacency matrix plot (#25).
  • added the data module gcastle_iidsimulation which uses the IIDSimulation class in gCastle.

Full Changelog: v1.2.0...v1.2.1