SKADA is a library for domain adaptation (DA) with a scikit-learn and PyTorch/skorch compatible API with the following features: DA estimators and transformers with a scikit-learn compatible API (fit, ...
The intended usage is to be able to add molecular vectorization directly into scikit-learn pipelines, so that the final model directly predict on RDKit molecules or SMILES strings As example with the ...
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