One of the researchers, Marco Ribeiro, who developed this method of explaining how black box models make their decisions has developed a Python implementation of the algorithm available through Github, but has anyone developed a R package? If so, can you report on using it?
Is there an R package for Locally Interpretable Model Agnostic Explanations?
neural network;r;predictive modeling;ensemble modeling
I think you're talking about the lime Python package. No, there is no R port for the package. The implementation for the localized model requires enhancements to the existing machine-learning code (explained in the paper), a new implementation for R would be very time consuming.You may want to take a look at https://stackoverflow.com/questions/11716923/python-interface-for-r-programming-language for interfacing Python in R.My suggestion is stick with Python. The package is only useful for highly complicated non-linear models, which Python offers better support than R.