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Add fast frugal trees #94

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BTopcuoglu opened this issue Jun 24, 2020 · 5 comments
Open

Add fast frugal trees #94

BTopcuoglu opened this issue Jun 24, 2020 · 5 comments
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feature A new feature request or enhancement

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@BTopcuoglu
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  • Create new models to be used
  • Test with real data
@BTopcuoglu BTopcuoglu changed the title Add L1-regularized SVM and c5.0 or fast frugal trees Add L1-regularized logit and c5.0 or fast frugal trees Jun 24, 2020
@kelly-sovacool kelly-sovacool added the feature A new feature request or enhancement label Jul 8, 2020
@JMAStough
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I'd like to help with this if it's cool with yall

@kelly-sovacool
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I'd like to help with this if it's cool with yall

@JMAStough Awesome! Sorry we didn't notice your comment until just now. I believe these would be custom models to implement, see caret docs here: https://topepo.github.io/caret/using-your-own-model-in-train.html.
Maybe @BTopcuoglu knows more about the details.

Let us know if you have any questions about the newly refactored code base.

@kelly-sovacool
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Note: @zenalapp is working on L1 logit for #154

@kelly-sovacool kelly-sovacool changed the title Add L1-regularized logit and c5.0 or fast frugal trees Add fast frugal trees Nov 13, 2020
@kelly-sovacool
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kelly-sovacool commented Nov 13, 2020

L1 logistic regression is now supported since we switched to glmnet (#154). We should probably document which custom hyperparameters the user needs to provide to pick L1 vs L2.

@zenalapp
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Yes I think that should be in the hyperparameter tuning vignette.

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