v0.1.2

Added

• Improved logging by making log level parameterizable (#85)
• Improved respecting of runtime budget (#30)
• Improved seeding/rng generation + seeding config space (#83)
• Add warning messages when using deprecated run parameters
• Add benchmarking suite + instructions

Changes

• Add requirement for numpy<2.0 as ConfigSpace does not support numpy 2.0 yet

v0.1.1

[0.1.1] - 2024-04-01

Added

• Improved logging and state saving
• Checkpointing and restarting an optimization run (#31)
• Clear communication, that warmstarting via tell is currently not supported
• Add class specific random number generators for better reproducibility

Changes

• Interface changes for run, removing unnecessary logging frequency parameters, since they have been moved to the constructor

v0.1.0

Added

• Configuration IDs to improve logging and reproducability (#62)
• Ask and Tell interface (#36)
• Examples for Ask and Tell interface

Changes

• Interface changes (renamed budget to fidelity) for clearer interface

v0.0.7

[0.0.7] - 2023-08-23

Added

• Support for Constant hyperparameters (#52)
• Unittests to test conversion from vector to configuration
• Landing page of documentation

v0.0.6

Version 0.0.6 - 2023-08-04

Added

• Unittest and documentation setup via pytest and mkdocs respectively
• Pre-commit pipeline for style-checking via ruff, mypy and black
• Better logging for min_budget >= max_budget (#33)
• CONTRIBUTING.md for future contributions

Fixed

• Use of deprecated numpy method np.int in dehb setup (#41)
• If condition for proper Client cleanup, since it was never True (#45)
• Data leak in example 01_Optimizing_RandomForest_using_DEHB (#23)

Changed

• README.md to feature badges