Vijay Arya

@flo443 Florian, thanks for submitting the pull. This looks good. Could you please add a unit test and also the jupyter notebook example as well.

@flo443 Florian The following notebook seems incomplete and is showing errors: https://github.com/flo443/AIX360/blob/master/examples/TracInF/TracInF.ipynb Please check. Ideally the above notebook should showcase an example of how to use your explanation algorithm on...

@Marleen1 The current setup.py attempts to install all packages required by all algorithms, so that users can essentially run any algorithm after installation. However each explainability algorithm requires only a...

I'm unable to recreate the installation errors mentioned in #141 or #139 on mac. On mac (Big Sur 11.6), these [instructions ](https://github.com/Trusted-AI/AIX360#installation) work fine. I faced a known minor error...

@mmdanziger Thanks for sharing your requirements. Which algorithms from the toolkit are using for your work? You can see: https://github.com/Trusted-AI/AIX360/blob/master/.github/workflows/Build.yml to track which systems we build and test aix360 on.

Thanks, yes we plan to make the installation lighter with some algorithms by default and others as optional. This will increase the python version coverage as well to > 3.6....

@Tomcli yes .. we would like to make all explainability algorithms framework independent. So that we could obtain contrastive explanations for models trained using other frameworks - tensorflow, pytorch, mxnet,...

@Vildemort You can look at the following notebook for an example of using the lime tabular explainer: https://github.com/marcotcr/lime/blob/master/doc/notebooks/Tutorial%20-%20continuous%20and%20categorical%20features.ipynb In the above example, explain_instance is called as: exp = explainer.explain_instance(test[i], rf.predict_proba,...

@illeatmyhat Most likely tensorflow 1.15 might work, although I probably need to test a bit more. However tensforflow 2.x would need some significant changes. There are two issues with tensorflow...

@illeatmyhat Thanks for pointing out this problem. We had planned to include the dependencies related to the main 8 explainability algorithms under install_requires (CEM requires tensorfow). I'm not sure if...