Chandan Singh

Thanks for your interest! There isn't at the moment but we can put this on the roadmap to add soon!

Thanks for the question Nick! Indeed we should have publicly released this with some documentation by now - will get to it shortly! @aagarwal1996 - can you add in the...

Just fixed it in [this commit](https://github.com/csinva/imodels/commit/a647816e3d80876f3a794891e9314269f50555c8) :) Will have to bump the version to `1.3.3` get it to work, but the code you were using above should work now. Also...

Glad to hear it's working for you 😄 This isn't currently implemented but should be easy to do - we'll get it done soon, especially if you're putting this into...

Following up, I tried setting this up on conda, but it seems that some of our dependencies (e.g. `mlxtend`) are not currently available on conda, so may be difficult to...

Hello 👋, thanks for your interest in this package! Thanks for this comment, will work on getting a clear and consistent visualization for the models some time this week!

I've started adding support for different models simply in the `__str__` function. So if you have a model `m` (e.g. `m=FIGSClassifier`), you can call `str(m)` or `print(m)` to visualize it.

The [demo notebook](https://github.com/csinva/imodels/blob/master/notebooks/imodels_demo.ipynb) now shows examples of how to visualize most of the models.

Hi @kmedved 👋, thanks for your interest in the package! Indeed, supporting sample weight seems like it would be useful and especially interesting for hierarchical shrinkage - we'll add it...

An update: some of the models (but not all) now support `sample_weight` including FIGS, TAO, SLIM, CART, BoostedRules, SLIPPER, and SkopeRules. Still working on the others...