We recommend using Anaconda to manage the Python environment. In this work, we use conda version 4.13.0, and install the following packages in the virtual environment midm. conda create -n midm ...
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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