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[ENH] Parametrize MLP Network, classifier and regressor #2337

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hadifawaz1999 opened this issue Nov 11, 2024 · 0 comments · May be fixed by #2338
Open

[ENH] Parametrize MLP Network, classifier and regressor #2337

hadifawaz1999 opened this issue Nov 11, 2024 · 0 comments · May be fixed by #2338
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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

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@hadifawaz1999
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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

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@hadifawaz1999 hadifawaz1999 added enhancement New feature, improvement request or other non-bug code enhancement classification Classification package regression Regression package deep learning Deep learning related networks Networks package good first issue Good for newcomers labels Nov 11, 2024
@aeon-actions-bot aeon-actions-bot bot removed the good first issue Good for newcomers label Nov 19, 2024
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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
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