syntheseus 0.4.1

This bugfix release fixes major issues with RetroKNN and GLN.

Fixed

• Fix incorrectly uploaded RetroKNN weights (#91) ([@kmaziarz])
• Fix GLN weights and issues in its model wrapper (#92) ([@kmaziarz])

syntheseus 0.4.0

This release largely simplifies the interaction between reaction prediction and search, merging the duplicated abstractions. It also significantly improves docs and tutorials, and integrates a new Graph2Edits model class.

Changed

• Merge reaction and reaction model base classes in search and reaction_prediction (#63, #67, #73, #74, #76, #84) ([@AustinT], [@kmaziarz])
• Make reaction models return Sequence[Reaction] instead of PredictionList objects (#61) ([@AustinT])
• Suppress the remaining noisy logs and warnings coming from single-step models (#53) ([@kmaziarz])
• Improve efficiency and logging of retro* algorithm (#62) ([@AustinT])
• Improve error handling in single-step evaluation and allow CLI to use the default checkpoints (#75) ([@kmaziarz])
• Make basic classes from interface importable from top-level (#81) ([@AustinT])

Added

• Integrate the Graph2Edits model (#65, #66) ([@kmaziarz])
• Improve the docs and add tutorials (#54, #77, #78, #79, #82) ([@kmaziarz], [@AustinT])
• Add random search algorithm as a simple baseline (#83) ([@AustinT])
• Add optional argument limit_graph_nodes to base search algorithm class to stop search after the search graph exceeds a certain number of nodes (#85) ([@AustinT])

Fixed

• Fix small issues in Chemformer, MEGAN and RootAligned (#80) ([@kmaziarz])
• Get all single-step models to work on CPU (#57) ([@kmaziarz])
• Make the data loader class work with relative paths (#69) ([@kmaziarz])

syntheseus 0.3.0

This release makes significant progress in terms of making the single-step models easier to setup and use. It also adapts the package to be compatible with being published to PyPI.

Changed

• Simplify single-step model setup (#41, #48) ([@kmaziarz])
• Refactor single-step evaluation script and move it to cli/ (#43) ([@kmaziarz])
• Return model predictions as dataclasses instead of pydantic models (#47) ([@kmaziarz])
• Make the package compatible with PyPI (#50) ([@kmaziarz])

Added

• Add a general CLI endpoint (#44) ([@kmaziarz])
• Add support for PDVN to the search CLI (#46) ([@fiberleif])
• Add initial static documentation (#45) ([@kmaziarz])

syntheseus 0.2.0

This release introduces significant new functionality compared to v0.1.0, including the addition of the single-step evaluation framework, its integration with search, and an implementation of PDVN. On top of this, it also includes several other improvements and bug fixes.

Changed

• Select search hyperparameters depending on which algorithm and single-step model are used (#30) ([@kmaziarz])
• Improve the heuristic used for estimating diversity (#22, #28) ([@kmaziarz])

Added

• Add code for PDVN MCTS and extracting training data for policies and value functions (#8) ([@AustinT], [@fiberleif])
• Add a top-level CLI for running end-to-end search (#26) ([@kmaziarz])
• Release single-step evaluation framework and wrappers for several model types (#14, #15, #20, #32, #35) ([@kmaziarz])
• Release checkpoints for all supported single-step model types (#21) ([@kmaziarz])
• Support *.csv and *.smi formats for the single-step evaluation data (#33) ([@kmaziarz])
• Implement node evaluators commonly used in MCTS and Retro* (#23, #27) ([@kmaziarz])
• Add option to terminate search when the first solution is found (#13) ([@AustinT])
• Add code to extract routes in order found instead of by minimum cost (#9) ([@AustinT])
• Declare support for type checking (#4) ([@kmaziarz])
• Add method to extract precursors from SynthesisGraph objects (#36) ([@AustinT])

Fixed

• Fix bug where standardizing MolSetGraphs crashed (#24) ([@AustinT])
• Guard against rare issues in MEGAN and LocalRetro (#29, #31) ([@kmaziarz])
• Change default node depth to infinity (#16) ([@AustinT])
• Adapt tutorials to the renaming from PR #9 (#17) ([@jagarridotorres])
• Pin pydantic version to 1.* (#10) ([@kmaziarz])
• Fix compatibility with Python 3.7 (#5) ([@kmaziarz])
• Correct some typos and unclear error messages (#39) ([@AustinT])

syntheseus 0.1.0

🌱 Initial public release, containing several multi-step search algorithms and a minimal interface for single-step models.