imodelsX
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Does this implementation accept multiple hidden layers?
I was wondering if this implementation allowed for multiple hidden layers that is key in getting good performance.
I just pushed support for this :)
You'll need to update the package (pip install imodelsx), then can pass hidden_layer_sizes list for multiple layers (like sklearn's MLP). See the second cell of the updated notebook for an example.