Hello all, I use RDKit to calculate descriptors, which I use to train a random forest model in scikit-learn. Since I do not scale my training data, I run into the problem that the descriptor Ipc may contain huge figures (1E+50), which then are too large for the data type float32 used in sklearn.
Is there a way of making sure the value of this descriptor fits in float32, without scaling my data? Otherwise I’d probably have to remove this descriptor from my model. Best regards, Christoph _______________________________________________ Rdkit-discuss mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/rdkit-discuss
