v1.2.0

29.10.2025 - Version 1.2.0

Feature

• Added autoeval framework PBC and example notebook.
• Introduced autoeval_pipeline parameters for loading precomputed embeddings.
• Added automatic dimensionality reduction to the inferencer.

Fixes

• Replaced t-SNE with PCA for embeddings reduction (because t-SNE cannot be retroactively applied).
• Fixed embedding functions compatibility with class_weights and classification protocols.
• Updated dataset links to point to the PBC repository.
• Corrected issues in autoeval tutorial notebooks and inference test configurations.

Refactors

• Added support for Python 3.13 [BETA].
• Enhanced flexibility for test set naming and output paths.
• Centralized shared functionality of data handler in the base class.

Tests

• Added unit tests for autoeval pipeline and class weight training validation.