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Machine Learning in R
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Include (missing) learners from package fda.usc for fda #1483

Closed lbeggel closed 4 years ago

lbeggel commented 7 years ago

Useful learners: -classif.np / .knn /.kernel: Nonparametric classifcation with bandwidth / knn / kernel

DONE. LB

-classif.glm: functional classification using functional (and non functional) explanatory variables by -basis representation; fitting GLM

DONE. LB

-classif.gsam: -”- ; fitting Generalized Additive Models

-classif.gkam: -”- : fitting Generalized kernel Additive Models

-classif.DD: classification based on DD-plot (Depth vs Depth)

-classif.depth: classification using maximum depth

lbeggel commented 7 years ago

@smilesun For coordination: before starting with a learner, we should add our name/shorthand symbol to the learners and after finishing, add DONE. Are you OK with this?

smilesun commented 7 years ago

I will finish the FDboost learner first before I get into these

stale[bot] commented 4 years ago

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.