b-shields / edbo

Experimental Design via Bayesian Optimization
MIT License
122 stars 41 forks source link

Decoding back to categorical values? #23

Open danieljacobsen-ai opened 11 months ago

danieljacobsen-ai commented 11 months ago

The code doesn't seem to do any conversion from categorical to continuous space, but only in the other direction (e.g. SMILES >> DFT.) That is, it seems to assume that the continuous space, to which the categoricals are encoded, is 'real' space and do all the work in that. If we were to use this tool to generate a batch of real-world experiments to be carried out, how should we decode the continuous vectors back to actual ligands etc.?