anchorsOnR
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viadee
Implementation of the Anchors algorithm: Explain black-box ML models
If multiple cases are explained, there should be a possibility to streamline explanations printouts. For instance, if several 'setosa' instances are explained, the resulting anchors - if similar/identical could be...
The application would greatly benefit from utilizing multiple threads. For R, this is no easy task and comes with plenty overhead. However, there are multiple options we should think about....
I'd like to see the printExplanations only require the explainer's outcome, not also the explainer instance itself. This would make handling the API much easier. After all, plotExplanations only requires...
I'd like to see a functionality with which the user can define custom perturbation spaces. This would also solve #37 and we could offer two API options: + Either provide...
- [x] Create required meta files - [ ] Pick a version number. - [ ] Run and document R CMD check. - [ ] Check that you’re aligned with...
Why does a train set need to be passed to anchors()? Anchors is able to run without a data set. Just the default perturbation should require a dataset
Since we did not find a non-GPL CRAN-hosted package, that discretizes continuous data in an unsupervised manner #44 , an unsupervised discretizer should be implemented directly. It could resemble the...
Since we did not find a non-GPL CRAN-hosted package, that discretizes continuous data in a supervised manner #44 , a supervised discretizer should be implemented directly. It could resemble the...