Releases
v0.3.0
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What's New in v0.3.0
New Features
Scaffold analysis : scaffold(), scaffold_fingerprint(), scaffold_split() -- Murcko/generic scaffold extraction with chemical names, scaffold-aware splitting
Hash collision handling : remove_collisions(), collision_free=True (multi-hash Bloom filter), collision_aware=True for SHAP interpretation
Graph vectors for sklearn : graph_vectors() and GraphTransformer for fixed-length graph features in pipelines
New logo : inline wordmark with fused-ring m and benzene o
Improvements
Updated init .py docstring to reflect all 30 FP types and 14 modules
README: added sections for Graph Vectors, Collision Handling, Scaffold Analysis
Updated comparison table with new features
Notebook summary table synced with current API
Stats
30 fingerprint types (13 2D + 9 3D + 8 graph)
22 sklearn transformers + GraphTransformer
361 tests passing
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