2.4.0

Highlights

The latest release of the EMAworkbench introduces significant performance improvements and quality of life updates. The performance of _store_outcomes has been enhanced by approximately 35x in pull request #232, while the combine function has seen a 8x speedup in pull request #233. This results in the overhead of the EMAworkbench being reduced by over 70%. In a benchmark, a very simple Python model now performs approximately 40.000 iterations per second, compared to 15.000 in 2.3.0.

In addition to these performance upgrades, the examples have been added to the ReadTheDocs documentation, more documentation improvements have been made and many bugs and deprecations have been fixed.

The 2.4.x release series requires Python 3.8 and is tested on 3.8 to 3.11. It can be installed as usual via PyPI, with:

pip install --upgrade ema-workbench

What's Changed

🎉 New features added

• optional preallocation in callback based on outcome shape and type by @quaquel in #229

🛠 Enhancements made

• util: Speed up combine by ~8x by @EwoutH in #233
• callbacks: Improve performance of _store_outcomes by ~35x by @EwoutH in #232

🐛 Bugs fixed

• fixes broken link to installation instructions by @quaquel in #224
• Docs: Fix developer installation commands by removing a space by @EwoutH in #220
• fixes a bug where Prim modifies the experiments array by @quaquel in #228
• bugfix for warning on number of processes and max_processes by @quaquel in #234
• Fix deprecation warning and dtype issue in flu_example.py by @quaquel in #235
• test for get_results and categorical fix by @quaquel in #241
• Fix pynetlogo imports by decapitalizing pyNetLogo by @quaquel in #248
• change default value of um_p to be consistent with Borg documentation by @irene-sophia in #250
• Fix pretty print for RealParameter and IntegerParameter by @quaquel in #255
• Fix bug in AutoadaptiveOutputSpaceExploration with wrong default probabilities by @quaquel in #252

📜 Documentation improvements

• Parallexaxis doc by @quaquel in #249
• Examples added to the docs by @quaquel in #244

🔧 Maintenance

• clusterer: Update AgglomerativeClustering keyword to fix deprecation by @EwoutH in #218
• Fix Matplotlib and SciPy deprecations by @EwoutH in #227
• CI: Add job that runs tests with pre-release dependencies by @EwoutH in #217
• Fix for stalling tests by @quaquel in #247

Other changes

• add metric argument to allow for other linkages by @mikhailsirenko in #222

New Contributors

• @mikhailsirenko made their first contribution in #222
• @irene-sophia made their first contribution in #250

Full Changelog: 2.3.0...2.4.0