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Currently, the PyTorch MLP tends to be a bit worse than the scikit-learn MLP on different datasets. Would be good to find out why, e.g. could it be the optimiser (lbfgs works well for small datasets but isn't implemented in PyTorch).
The text was updated successfully, but these errors were encountered:
Currently, the PyTorch MLP tends to be a bit worse than the scikit-learn MLP on different datasets. Would be good to find out why, e.g. could it be the optimiser (
lbfgs
works well for small datasets but isn't implemented in PyTorch).The text was updated successfully, but these errors were encountered: