Love the package and have been using the interactive explainer to dive into some of our NLP models.
We have quite complex models, and the latest version of the LIME 0.5.1 broke our wrapper around the interactive explainer.
We typically pass additional arguments to the text_explainer, but they're not pushed through to the underlying explainer. e.g. we call it like this
lime::interactive_text_explanations(explainer,
max_feature_to_select = 10,
problem = problem)
I think all we need to adjust to make this work is line 90 of the shiny.r function where the call to explain needs to have ... = ... added and the function itself just needs ... added as an argument.
Hi there,
Love the package and have been using the interactive explainer to dive into some of our NLP models.
We have quite complex models, and the latest version of the LIME 0.5.1 broke our wrapper around the interactive explainer.
We typically pass additional arguments to the text_explainer, but they're not pushed through to the underlying explainer. e.g. we call it like this
I think all we need to adjust to make this work is line 90 of the shiny.r function where the call to explain needs to have ... = ... added and the function itself just needs ... added as an argument.
Thanks! Alan