Submitted by deepestdescent t3_z4oxq5 in MachineLearning
I like the shap library, but it looks like it isn’t being actively maintained any more. The last merged PR was back in June and the issue tracker is inundated with issues that haven’t received any responses. It’s a bit buggy in places and it generates a ton of warning messages. Does anyone have any alternative recommendations?
Thank you for that. Does it use the shap library under the hood, or does it have its own implementation for computing Shapley values? If it is using the shap, then I wouldn’t really call this an alternative as it is using the same unmaintained backend.
Yep so InterpretML does use the unmaintained shap library unfortunately. Looks like the author of shap works for Microsoft though so maybe he also works on InterpretML? I just don’t understand why shap isn’t being actively maintained since so many projects rely on it.
You might actually be the best candidate to begin to maintain shap.
I’m guessing since the creator graduated and went to work at Microsoft he can’t maintain it anymore. Follow Patrick Hall for up to date ML interpretability packages and news.
It would be good if Microsoft could give him time to maintain shap. It’s such an important resource for the ML community.
Why not add whatever fix you need to it yourself?
I can’t really help the current shap project if the PR never gets looked at. In fact, most of the issues I want fixed already have open PRs associated with them. I may look into starting my own fork, but I just wanted to see whether the community had moved on to some other library.
It's in the spirit of open source to contribute to packages you care about. Just saying
I agree, but it’s pretty hard to contribute if issues and PRs never get looked at. I’m considering making a fork of shap. I just wanted to check whether people had moved on to some other library. From the comments, it appears not.
You can't contribute if noone merges PRs and manages the project.
Eli5, treeinterpreter
I’ll look into ELI5. Treeinterpreter isn’t really general enough for me. I like that shap can work with any model.
Actually ELI5 is no good for me either. Hasn’t been updated for years.
try poking around this list, surely there's something in there that fits what you need: https://github.com/stars/dmarx/lists/ml-explainability
EDIT: OK, here are probably your best candidates from that list:
And another list: https://github.com/jphall663/awesome-machine-learning-interpretability
Other than captum, all of those libraries rely on the unmaintained shap library.
lol whoops. did you create issues on those project to let them know they're depending on an unmaintained repo?
I started playing with captum a couple of days ago.. Seems ok, but Iv only used it with pytorch..
[deleted]
Lgbm has native shap support.
I want a general black box library like shap. Lgbm is tied to gradient boosted trees.
Hydreigon92 t1_ixs6lui wrote
Maybe InterpretML? It's developed and maintained by Microsoft Research and consolidates a lot of different explainability methods, including SHAP, into a consistent API.