Carlos Parada
Carlos Parada
Right now, MLJModels.jl has ContinuousEncoder, which automatically transforms into one of two codings: 1. Dummy variable coding (one-hot with last category dropped) 2. Redundant variable coding (one-hot) However, these aren't...
Similar to the Box-Cox transformation, the `asinh` or pseudolog transformation is a common transformation for reducing skewness and stabilizing variance. It's most often used for variables that are roughly log-normal,...
Right now, inputting a date into a `ContinuousEncoder` just drops it, but it seems more reasonable to handle by converting dates into a number of days. ``` [ Info: Some...
Hi, this looks like an amazing package you've got! Would you be willing to merge it into Documenter.jl, to make sure it can stay up-to-date and well-maintained into the future?...
`conda-build` includes the `conda skeleton` command, which lets you build and install conda packages from PyPI and CRAN. It'd be great to have an easy way to do this from...
I'm not sure if this is possible, but if it is, it would be nice to include a brief tutorial showing how to use CondaPkg.jl with RCall.jl.
The algorithm listed as `GeneralImputer` here is more widely-known as MICE (Multiple imputation by chained equations) in statistics. I'm not sure if the name used here is standard in ML,...
Specifically, I think separating the modules in this into subpackages (i.e. reexported as part of a larger overall BetaML package) would help a lot with discoverability; for instance, the problem...
Hi! Thought this package looks interesting, but might do well with more maintenance and attention given to it. It looks quite similar to `DataInterpolations.jl`; have you considered merging the package...
I'm not very well-versed in the technique you used to optimize Latin Hypercubes, but I'd be interested in using something similar to optimize randomized QMC sequences, which are similar, but...