Version 1.4.0

Features

• BOinG: A two-stage Bayesian optimization approach to allow the
  optimizer to focus on the most promising regions.
• TurBO: Reimplementaion of TurBO-1 algorithm.
• Updated pSMAC: Can pass arbitrary SMAC facades now. Added example and fixed tests.

Improvements

• Enabled caching for multi-objectives (#872). Costs are now normalized in get_cost
  or optionally in average_cost/sum_cost/min_cost to receive a single float value. Therefore,
  the cached cost values do not need to be updated everytime a new entry to the runhistory was added.

Interface changes

• We changed the location of Gaussian processes and random forests. They are in the folders
  epm/gaussian_process and epm/random_forest now.
• Also, we restructured the optimizer folder and therefore the location of the acquisition functions
  and configuration chooser.
• Multi-objective functions are located in the folder multi_objective.
• pSMAC facade was moved to the facade directory.

Version 1.3.4

• Added reference to JMLR paper.
• Typos in documentations.
• Code more readable since all typings are imported at the beginning of the file.
• Updated stale bot options.

Version 1.3.3

• Hotfix: Since multi-objective implementation depends on normalized costs, it now is ensured that the
  cached costs are updated everytime a new entry is added.
• Removed mac-specific files.
• Added entry point for cli.
• Added ConfigSpace to third known parties s.t. sorting should be the same across different
  operating systems.
• Fixed bugs in makefile in which tools were specified incorrectly.
• Executed isort/black on examples and tests.
• Updated README.
• Fixed a problem, which incremented time twice before taking log (#833).
• New wrapper for multi-objective models (base_uncorrelated_mo_model). Makes it easier for
  developing new multi-objective models.
• Raise error if acquisition function is incompatible with the epm models.
• Restricting pynisher.

Version 1.3.2

• Added stale bot support.
• If package version 0.0.0 via get_distribution is found, the version of the module is used
  instead.
• Removed tox.ini.
• Moved requirements.txt to setup.py.
• Added multi-objective support for ROAR.
• Added notes in documentation that SMAC4MF is the closest implementation to BOHB/HpBandSter.

Version 1.3.1

• Added Python 3.7 support again.

Version 1.3

Features

• PiBO: Augment the acquisition function by multiplying by a pdf given by the user.
  The prior then decays over time, allowing for the optimization to carry on as per default.
• The RunHistory can now act as a Mapping in that you can use the usual methods you can use on dicts, i.e. len(rh), rh.items(), rh[key]. Previously this was usually done by accessing rh.data which is still possible.

Minor Changes

• Updated the signature of the ROAR facade to match with it's parent class SMAC4AC. Anyone relying on the output directory without specifying an explicit run_id to a ROAR facade should now expect to see the output directory at run_0 instead of run_1. See #827.

Code-Quality

• Updated and integrated flake8, mypy, black, and isort.

Documentation

• SMAC uses automl_sphinx_theme now and therefore the API is displayed nicer.

Version 1.2

Features

• Added multi-objective optimization via Mean-Aggregation or Par-EGO (#817, #818). Both approaches normalize
  the costs objective-wise based on all data in the history.

Major Changes

• Results are instantly saved by default now. That means, runhistory.json is saved every time
  a trial is added.
• Determinstic behaviour (defined in scenario) is default now. Calling a function/TAE with the same
  seed and configuration is expected to be the same.
• Limit resources behaviour is by default false now. This is particually important because pynisher
  does not work on all machines (e.g. Colab, Mac, Windows, ...) properly.
• Renamed scenario object save_results_instantly to save_instantly.
• Added multi_objectives as scenario argument.
• Expanded cost_for_crash for multi-objective support.

Examples

• Integrated spear_qcp example for commandline.
• Python examples are now executed so that the output in the documentation is shown.
• Added multi-objective example.

Documentation

• Added runhistory page.

Workflow Clean-up

• Adds PEP 561 compliance (exports types so other packages can be aware of them).
• Allow manual workflow_dispatch on actions that might require it (can manually trigger them from github UI).
• Prevent the double trigger of actions by making push and pull_request and more strict.
• A push to a pull request should no longer cause double the amount of tests to run (along with the other workflows that had on: [push, pull_request].
• Some general cleanup, giving names to some actions, adding some linebreaks to break up things, ...
• Command-line examples are tested again.
• pytest.yaml:
  • Now scheduled to auto run everyday instead of every week.
  • Clean up the body of the steps and move some things to env var.
  • Scaffold for matrix that includes windows and mac testing (currently excluded, see comments).
  • Includes tests for Python 3.10.
  • Changed the boolean flags in the matrix to just be a categorical, easier to read.

Minor Changes

• Specified that dask should not cache functions/results (#803) .
• Handles invalid configuration vectors gracefully (#776).
• Specified scenario docs that also SMAC options can be used.
• Docs display init methods now.
• Parameters in the docs are shown first now.
• Successive Halving only warns you once if one worker is used only.
• Statistics are better readable now.
• Sobol sequence does not print warnings anymore.

Release 1.1.1

Minor Changes

• Added comparison between SMAC and similar tools.
• Updated installation guide.
• Added a warning that CLI is only available when installing from GitHub.

Release 1.1.0

Major Changes

• Option to use an own stopping strategy using IncorporateRunResultCallback.
• Documentation was updated thoroughly. A new theme with a new structure is provided and all pages
  have been updated. Also, the examples revised and up-to-date.
• Changed scripts/smac to scripts/smac.py.

Minor Changes

• README.md updated.
• CITATION.cff added.
• Made smac-validate.py consistent with runhistory and tae. (#762)
• minR, maxR and use_ta_time can now be initialized by the scenario. (#775)
• ConfigSpace.util.get_one_exchange_neighborhood's invalid configurations are ignored. (#773)

Bug Fixes

• Fixed an incorrect adaptive capping behaviour. (#749)
• Avoid the potential ValueError raised by LocalSearch._do_search. (#773)

Release 1.0.1

1.0.1

Minor Changes

• Added license information to every file.
• Fixed a display bug inside usage recommendation.