search

SAP-archive / contextual-ai

Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference - thereby addressing the trust gap between such ML systems and their users. It does not refer to a specific algorithm or ML method — instead, it takes a human-centric view and approach to AI.
https://contextual-ai.readthedocs.io/en/latest
Apache License 2.0
86 stars 12 forks source link

Error after Instantiating LimeTabularExplainer via the Explainer interface #11

Closed Rajprasath89 closed 2 years ago

Rajprasath89 commented 4 years ago

After instantiating LimeTabularExplainer via Explainer interface, I am getting an error message:

TypeError: init() got an unexpected keyword argument 'sample_around_instance'

I guess this should be because of latest release. I dont see this error message on previous versions. Suggestions please?

seansaito commented 4 years ago

Hi Rajprasath, thanks for raising the issue. Do you mean that this error happens for later versions of LIME?

postalC commented 4 years ago

@Rajprasath89 can you share some sample code or notebook, how to reproduce the issue and using what data set? thanks

wangjin1024 commented 3 years ago

@Rajprasath89 Could you provide the version of the library that you are using and some sample codes? It may be due to a misalignment on the library version. "sample_around_instance" is a new attribute introduced in the latest version of lime.

wangjin1024 commented 2 years ago

@Rajprasath89 I will close this issue for now as we haven't heard from you for long, please let me know if you need more help for debugging. Thanks.