EMAworkbench

workbench for performing exploratory modeling and analysis

BSD-3-CLAUSE License

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Ecosystems: Python

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EMAworkbench - 2.5.2 Latest Release

Published by EwoutH 5 months ago

2.5.2 is a small patch release that makes the EMAworkbench compatible with NumPy 2.0 and improves the MPIEvaluator tutorial.

What's Changed

🐛 Bugs fixed

📜 Documentation improvements

Full Changelog: https://github.com/quaquel/EMAworkbench/compare/2.5.1...2.5.2

EMAworkbench - 2.5.1

Published by EwoutH 6 months ago

The 2.5.1 release is a small patch release with two bugfixes.

  • The first PR (#346) corrects a dependency issue where the finalizer in futures_util.py incorrectly assumed the presence of experiment_runner in its module namespace, leading to failures in futures models like multiprocessing and mpi. This is resolved by adjusting the finalizer function to expect experiment_runner as an argument.
  • The second PR (#349) addresses a redundancy problem in the MPI evaluator, where the pool was inadvertently created twice.

What's Changed

🐛 Bugs fixed

Full Changelog: https://github.com/quaquel/EMAworkbench/compare/2.5.0...2.5.1

EMAworkbench - 2.5.0

Published by EwoutH 10 months ago

Highlights

In the 2.5.0 release of the EMAworkbench we introduce a new experimental MPIevaluator to run on multi-node (HPC) systems (#299, #328). We would love feedback on it in #311.

Furthermore, the pair plots for scenario discovery now allow contour plots and bivariate histograms (#288). When doing Prim you can inspect multiple boxes and display them in a single figure (#317).

Breaking changes

From 3.0 onwards, the names of parameters, constants, constraints, and outcomes must be valid python identifiers. From this version onwards, a DeprecationWarning is raised if the name is not a valid Python identifier.

What's Changed

🎉 New features added

🛠 Enhancements made

🐛 Bugs fixed

📜 Documentation improvements

🔧 Maintenance

Other changes

Full Changelog: https://github.com/quaquel/EMAworkbench/compare/2.4.0...2.5.0

EMAworkbench - 2.4.1

Published by EwoutH over 1 year ago

Highlights

2.4.1 is a small patch release of the EMAworkbench, primarily resolving issues #276 and #277 in the workbench itself, and a bug introduced by #241 in the docs. The EMAworkbench now also raise exception when sampling scenarios or policies while no uncertainties or levers are defined (#282).

What's Changed

🛠 Enhancements made

🐛 Bugs fixed

  • bugfix to rebuild_platypus_population by @quaquel in https://github.com/quaquel/EMAworkbench/pull/276
  • Fixed dtype handling in load_results function. The dtype metadata is now correctly applied, resolving issue #277.
  • Fixed the documentation bug introduced by #241 in the general introduction section, which now accurately reflects the handling of categorical uncertainties in the experiment dataframe.

📜 Documentation improvements

Full Changelog: https://github.com/quaquel/EMAworkbench/compare/2.4.0...2.4.1

EMAworkbench - 2.4.0

Published by quaquel over 1 year ago

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

🛠 Enhancements made

🐛 Bugs fixed

📜 Documentation improvements

🔧 Maintenance

Other changes

New Contributors

Full Changelog: https://github.com/quaquel/EMAworkbench/compare/2.3.0...2.4.0

EMAworkbench - 2.3.0

Published by quaquel almost 2 years ago

2.3.0

Highlights

This release adds a new algorithm for output space exploration. The way in which convergence tracking for optimization is supported has been overhauled completely, see the updated directed search user guide for full details. The documentation has moreover been expanded with a comparison to Rhodium.

With this new release, the installation process has been improved by reducing the number of required dependencies. Recommended packages and connectors can now be installed as extras using pip, for example pip install -U ema-workbench[recommended,netlogo]. See the updated installation instructions for all options and details.

The 2.3.x release series supports Python 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

🛠 Enhancements made

🐛 Bugs fixed

📜 Documentation improvements

🔧 Maintenance

Other changes

Full Changelog: https://github.com/quaquel/EMAworkbench/compare/2.2.0...2.3.0

EMAworkbench - 2.2.1

Published by EwoutH about 2 years ago

The 2.2.1 release is a small patch release to address 3 bugs in the EMAworkbench 2.2.0 (#155, #168 and #188). Thanks @vioSpark and @steipatr for reporting those!

This new version can be installed as usual via PyPI, with:

pip install --upgrade ema-workbench

🐛 Bugs fixed

📜 Documentation improvements

Full Changelog: https://github.com/quaquel/EMAworkbench/compare/2.2.0...2.2.1

EMAworkbench - 2.2.0

Published by EwoutH about 2 years ago

Highlights

With the 2.2 release, the EMAworkbench can now connect to Vadere models on pedestrian dynamics. When inspecting a Prim Box peeling trajectory, multiple points on the peeling trajectory can be inspected simultaneously by inputting a list of integers into PrimBox.inspect().

When running experiments with multiprocessing using the MultiprocessingEvaluator, the number of processes can now be controlled using a negative integer as input for n_processes (for example, -2 on a 12-thread CPU results in 10 threads used). Also, it will now default to max. 61 processes on windows machines due to limitations inherent in Windows in dealing with higher processer counts. Code quality, CI, and error reporting also have been improved. And finally, generating these release notes is now automated.

This new version can be installed as usual via PyPI, with:

pip install --upgrade ema-workbench

What's Changed

🎉 New features added

🛠 Enhancements made

🐛 Bugs fixed

📜 Documentation improvements

🔧 Maintenance

New Contributors

Full Changelog: https://github.com/quaquel/EMAworkbench/compare/2.1.2...2.2.0

EMAworkbench - 2.0

Published by quaquel over 5 years ago

2.0 version of the workbench.

Main changes:

  • requires python 3.6 or newer!
  • move from numpy recarray to pandas dataframe for experiments
  • consistent API in analysis package with x for experiments, and y for the outcome of interest you want to analyse
  • many bug fixes, improved documentation, and more extensive testing
EMAworkbench - 0.6

Published by quaquel about 9 years ago

Stable version of the workbench

  • support for clusters via ipython parallel
  • massive update to documentation
  • reworked structure of packages
  • pep8 related changes to api
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