Harmonization tools for multi-site neuroimaging analysis. Implemented as a python package. Harmonization of MRI, sMRI, dMRI, fMRI variables with support for NIFTI images. Complements the work in Neuroimage by Pomponio et al. (2019).
@AbdulkadirA 's comments are all very relevant. I'm guessing some internal data structure will need to keep track of the original category levels and the encoding (i.e., the way values were mapped to numbers). Then, the apply stage will need to compare the new data to the original data and reconcile differences. The Sci-Kit Learn method preprocessing.OneHotEncoder could be useful here.
Sorry I'm just getting around to seeing this. I greatly appreciate your work!
@AbdulkadirA 's comments are all very relevant. I'm guessing some internal data structure will need to keep track of the original category levels and the encoding (i.e., the way values were mapped to numbers). Then, the apply stage will need to compare the new data to the original data and reconcile differences. The Sci-Kit Learn method
preprocessing.OneHotEncodercould be useful here.Sorry I'm just getting around to seeing this. I greatly appreciate your work!