InterpretML

Hi @kevencarneiro, Thanks for reporting this! This should be getting fixed in our next release, and relates to an incompatibility we previously had with the scikit-learn API. For the time...

Hi @lukedex, This is a great question, but unfortunately we have no support for custom loss functions in EBMs today. It's something we're working towards on our backlog, but it...

Hi @lukedex, Really appreciate that you reached out again on here -- managed to find your email, and just sent you a reply. Let us know if you didn't receive...

Hi @nchesk -- We've done some work on custom losses, but it's a big change and it'll be a while (months at least) before it's ready. -InterpretML team

Hi @ClaudiuPapasteri, Thank you for the detailed notes, they are very helpful! Aligning with `tidymodels` in particular is a fantastic idea. We've currently been focusing on making improvements to our...

Hi @abdjiber, Thanks for the detailed question! Unfortunately, things are a bit more complex in the EBM setting when compared to linear models. There's two different ways to look at...

Hey @JoshuaC3, This is a nice idea! As you point out, it's currently not possible to use the automated interaction detection with any restrictions -- it's currently all or nothing....

Hi @mtaufeeq, I haven't seen this error before, and am having trouble reproducing it with any public dataset. For example, the following code runs for me on the currently available...

Hi @mtaufeeq, Is your classification problem multiclass? Currently we only support binary classification and regression in the DP-EBM setting. Our last PyPI release would probably raise this rather confusing exception...

Hi @dmalagarriga, We're happy that you're enjoying InterpretML! You're right, this is a Dash issue that would take some time to fix. One potential solution is storing each tab's state...