Sergey Feldman

I had the same issue. Just install the latest from git instead of `pip` and it works fine.

@annaveronika I made a very simple test for `lightgbm` regressor vs `catboost` regressor without any categorical variables: ``` import lightgbm as lgb from catboost import CatBoostRegressor from sklearn.datasets import make_regression...

@annaveronika Thank you for your answers - they are very helpful. There is a lot of in-depth knowledge in them. May I suggest a blog post or doc or example...

Hello, Thanks for this excellent package! We are going to use a number of functions from it: ``` from abydos.distance import ( IterativeSubString, BISIM, DiscountedLevenshtein, Prefix, LCSstr, MLIPNS, Strcmp95, MRA,...

I just pip installed it into an env I had. No issues. This might be something on your end. Have you tried in a clean env?

Sorry, I am not sure what's going on here. Seems like cvxopt is having trouble? Maybe ask on their github issues page.

Sounds great! I've been using this in my own mini-implementation of SFS and it seems to work well.

That is very helpful and answers my question, thanks. I might have time to contribute this feature, depending on the complexity. What would be involved?

Sure, sounds fun. I imagine we can just take the current objective functions and stick a `+ b` into them?

Hello. What would be the effort for an external PR contribute to add sparse support for those models with the word `Sparse` in their name? Is it deep surgery or...