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**Is your feature request related to a problem? Please describe.**
I have started using your library because I wanted to move my Overlap Group Lasso model from R (grpregOverlap library) to python…
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Why setting the optimal target equals the dual term ""s derivate times the prediction instead of the original OT distance? It makes sense to optimize the entire OT loss term "W(z, z^)" or its dual ter…
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from: https://github.com/llvm/llvm-project/commit/8ac924744e93258d0c490e2fa2d4518e24cb458d
to: https://github.com/llvm/llvm-project/commit/f73050e722dd2e484358d03674eb186f3a2f4799
commit: 72304586324c…
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currently a CMachine can expose what sort of problem it can solve with `EProblemType get_machine_problem_type()` API, e.g. `PT_BINARY`, `PT_REGRESSION` etc. but it doesn't say anything about what type…
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Support for gaussian process may be a great addition to this library
e.g. normalizing sparse/irregular time series, uncertainty estimation, etc..
Regression/classification can probably be easily …
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### Describe your issue.
The scikit-learn nightly build CI has found a recent regression:
- https://github.com/scikit-learn/scikit-learn/pull/29428
The reproducer below fails on recent nightl…
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my guess is that this might be similar to regression trees, but I never looked at those details.
The basic idea: We want to select variables from a large possible list. Explanatory variables are gene…
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you have Dense example but will it work for sparse data ?
it is written Dense example in
https://github.com/jamborta/tffm2/blob/master/example.ipynb
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Hello,
I think having bindings to R is a good way to advance the OCaml ecosystem
in the ML field.
Seeing a working example of ocaml-r calling functions from the R packages
ranger (random forests…
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I have been trying to use MLTK for a regression problem, and I found there are many important details missing from the documentation:
- There is no info on how to set up datasets in memory programmati…