Processoptimizer

Latest version: v1.1.1

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1.1.2

Changes

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Bugfixes

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1.1.1

Changes

- Move to pyproject.toml (delete setup.py+requirements.txt)
- Add classifiers to pyproject.toml
- Rotate colorbar-ticks to 45 degrees
- Deprecation warning for 3d Pareto plot
- log axis on y (or z scale) not implemented error
- Update Readme.md

Bugfixes

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1.1.0

Changes

- D-optimal designs in get_optimal_DOE.
- Director and support for using disparate backends with XpyriMentor.
- Warning for re-visiting a point changed to be less severe - It is just a piece of information.
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Bugfixes

- LHS doesn't only produce diagonal points any more.
- expected_minimum runs even with constraints, but still doesn't respect constraints.

1.0.2

Changes

-

Bugfixes

- Fixed a bug where sum_equals constraints would break if used with dimensions other than
an increasing list from 0. E.g. constraining dimensions [0, 1, 2] would work, but
constraining [1, 2, 3] would not.

1.0.1

Changes

- Added a plotting function that supports the Brownie Bee user interface (see browniebee.io).
- Made small improvements to the plot_objective_1d function, and added it to __init.py__ for ProcessOptimizer.
- Added documentation for multiobjective optimization

Bugfixes

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1.0.0

Changes

- Documentation about the features in control parameters and sampling control parameters.
- ModelSystems moved to creator systems, so they are only created when you ask for them. You now need to use `ProcessOptimizer.model_systems.get_model_system(model_system_name)` to create them. This has two advantages: If you change a model system, it doesn't affect a new instance of it. And ProcessOptimizer should import faster, since fewer objects are created i memory.
- Radius changed in certain Bokeh plots
- Default Pareto plot has more points on Pareto-front (40 -> 100)

Bugfixes

- Setting noise-size in zero-noise models will now raise an error
- Multible imports of a model system will now provide separate instances

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