v1.3.0

13.01.2026 - Version 1.3.0

Features

• Adding additional pbc tasks (binding, conservation, disorder, membrane)
• Adding direct input of embeddings via input_data config option
• Adding improved autoeval report API (Including a summary function)
• Adding a random-sampling baseline based on training set distributions
• Adding optimized huggingface embedder models for ProtT5, ProstT5 and the ESM-2 family
• Optimizing async embeddings saving to speed up embeddings calcultion
• Improving memory estimation for embedding batch sizes on MacOS
• Adding an optional scaling step and option to scale input features if required (scaling_method)

Fixes

• Adding a link to the config bank in plm_eval jupyter notebook and adapting to improved report api

Breaking

• Replacing eval() with ast.literal_eval (Breaking: Removes support for list comprehensions in cross validation
  parameters)
• Optimized autoeval pbc config bank