Is it possible to train a gaussian process regression (GPR) using input and output multidimensional arrays?

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I want to use a GPR to reproduce the perfomance of a mechanistic model. I have already conduct simulations and gather input and output data. I have 100 time series each with 10k data and 20 characteristics, resulting in a multidimensional array of 10k x 20 x 100.
Thanks for your help, Rafael

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