[ENH] Parametrize MLP Network, classifier and regressor #2337
Labels
classification
Classification package
deep learning
Deep learning related
enhancement
New feature, improvement request or other non-bug code enhancement
networks
Networks package
regression
Regression package
Describe the feature or idea you want to propose
all networks in aeon are parameterized, on number of layers and parameters per layers, default values as the ones in their published associated paper.
would be nice to have this option for mlp too, handling list inputs as for fcn and others
Describe your proposed solution
simply do for mlp network like for fcn network, and then add the arguments to the classifier and regresdor that uses the network
Describe alternatives you've considered, if relevant
No response
Additional context
No response
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