TINTOlib v1.1.0 Release Notes WHAT'S NEW • Two new synthetic image methods: Fotomics and DeepInsight • Customizable transformer system for flexible data preprocessing • New three-level class hierarchy (AbstractImageMethod → MappingMethod → ParamImageMethod) • Feature-to-pixel mapping with explicit CSV export • Support for multiple pixel assignment strategies and relevance scoring BREAKING CHANGES Problem parameter updated: OLD: problem="supervised" NEW: problem="classification" (Deprecated value still works with FutureWarning for backward compatibility) BUG FIXES • Fix LogScaler Class (#18) • Fix abstractImageMethod transformer reference in fit_transform() • Fix SuperTML uint8 rendering (#16) • Fix Random State for reproducibility • Fix CSV file generation DEPENDENCY CHANGES • numpy: 2.0.2 → 1.26.4 • mpi4py: NOW OPTIONAL (only needed for REFINED method) • Added: numba==0.62.0 VERSION INFO • Version: 1.0.6 → 1.1.0 • Status: Stable Release RESOURCES GitHub: https://github.com/oeg-upm/TINTOlib Documentation: https://tintolib.readthedocs.io/ PyPI: https://pypi.org/project/TINTOlib/ Issues: https://github.com/oeg-upm/TINTOlib/issues

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