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Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog and this project adheres to Semantic Versioning.

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

0.1.0 - 2024-02-15

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

0.0.7 - 2023-08-23

Added

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

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
  • Folder structure to have package fully contained in src/

NOTE: For versions <= 0.0.5 we do not provide release tags, since we changed our release pipeline from version 0.0.6 onwards.

0.0.5 - 2023-02-19

Fixed

  • Add dtype option to history np.array

0.0.4 - 2022-09-18

Changed

  • Update default hyperparameters to match the hyperparameters in the DEHB paper.

0.0.3 - 2022-08-17

Added

  • Add option to append custom name to output file name

0.0.1 & 0.0.2 - 2022-06-13

Added

  • Initial project release and push to PyPI