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I am pretty new to the machine learning field. I want to use an $n \times m$ matrix as the input of a model, in order to predict a vector $1 \times m$, both of real numbers. Input data are quite clean, with statistics of about 10000 items.

Do you know a method that can handle that?

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    $\begingroup$ Hint: Start by flattening the $n\times m$ matrix to a $nm\times 1$ vector. $\endgroup$
    – user26872
    Commented May 16, 2020 at 16:28

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ANNs can do the trick. Check out sklearn's ANN example with the Digits dataset, which consists of 28x28 pixel input data.

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