Previous work has shown that oxidation number can be predicted from XANES spectra via ML classification models . Here, we show that this principle is extensible to the continuous regression of Bader charges. We obtain varying degrees of success based on the element of the absorbing atom. metals is possibly less trustworthy; however, the MAE is on average .07, which is a natural bound for the resolving power of our model due to how the data was collected (see Methods section for more details).