Maybe a little late, but we’re modelling spectral data. We have many hundreds to several thousand spectal datasets of a few thousand points each and a corresponding composition for each spectrum, consisting of about a dozen different mineral species. Currently we’re using several single-output models, but would like to use a multiple-output model, as the input composition data are correlated.
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