Release Version 1.2 · automl/SMAC3

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.

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.

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

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.