Results 75 comments of InterpretML

Hi @p9anand, @timvink, @antonkulaga, @stefanhgm - Our latest release includes some work to handle missing values better. To enable this though, you'd need to modify the code in ebm.py by...

Hi @stefanhgm -- Thanks for sending us a link to your paper. It's great to see new research in the EBMs/GA2Ms visualization space! You can find out if there were...

We just recently published `interpret` and `interpret-core` (latter is used for when you select the exact dependencies you need for production) on conda. It's at `https://anaconda.org/interpretml/interpret`. Would that suffice? If...

Hi @Garve, Thanks for bringing this up, and sorry for our delay in getting back to you. We completely agree that the ability to enforce monotonicity would be a nice...

Hi @Garve, @JoshuaC3, and @paulsendavidjay, Thanks for the spirited discussion around this! Wanted to add to this thread with some utility code that post-processes any main effect graph to enforce...

Hi @paulsendavidjay, Same to you -- thanks for the quick feedback! It's a bit surprising that your EBMPreprocessor doesn't have the col_bin_counts_ attribute exposed. Any chance you can check what...

Hi @safieurrahman, Thanks for reporting this! Right now, list inputs are not supported by Interpret's explainability techniques. We're working to enable this in future releases, but we don't have a...

Hi @JoshuaC3 , @davidlkl -- Yes, as you've pointed out, the loss function code is all implemented in C++ currently. We would like to expose this someday in python, but...

Hi @JoshuaC3 -- We've been looking at this question in more depth the last few days, and had a look at how XGBoost and LightGBM handle this internally. Exposing it...

Hi @bverhoeff, This is a great topic! - _Is a standard deviation calculated by bagging data 8 times and training 8 models and averaging them (as you did) representative for...