Carlos Parada

Oh, it looks like there are functions for ranks/standings, but the names seem hard to remember (mostly because there's lots--one for each possible tiebreaking procedure). (The one I happened to...

> Almost six years later, with StatsBase vö.33.21, there are still ambiguities in the module: Hmm, the good news is it's just 5 of them, and they look very easy...

What's holding up this PR?

> `where T

Yep. Besides that, is the default (automatically return properties) a good default, or should it error for types that don't have a defined method?

Apparently what I needed exists, it just has a somewhat weird name--I didn't expect it to be called `multiexponents` at all. Would [this](https://github.com/JuliaMath/Combinatorics.jl/blob/d1b633bffd1ed7ff3301e38f71cf37f415f19d1d/src/multinomials.jl#L30-L47) be easier to find if it had...

> Are there specific hyper tuning methods you'd like to see covered? Mostly just a gradient method for the continuous parameters. Grid search should be fine for the discrete hyperparameters,...

Whoops, this is supposed to be in EvoLinear.jl :sweat_smile: (Although, I thought the loss was differentiable with respect to `lambda`? But I might be mixing that up with some other...

> Hi, is there any plan to implement linear models at the leaves? > > Similar to linear_tree in LightGBM. https://lightgbm.readthedocs.io/en/latest/Parameters.html#linear_tree [microsoft/LightGBM#3299](https://github.com/microsoft/LightGBM/pull/3299) You might be interested in [MARS](https://en.wikipedia.org/wiki/Multivariate_adaptive_regression_spline) or the...

> Thanks for the suggestion. I am not familiar with this transformation, so I don't undertand what you mean by location and scale parameters and tune to 0/1. You can...