# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "lime" in publications use:' type: software license: MIT title: 'lime: Local Interpretable Model-Agnostic Explanations' version: 0.5.3.9000 doi: 10.32614/CRAN.package.lime abstract: When building complex models, it is often difficult to explain why the model should be trusted. While global measures such as accuracy are useful, they cannot be used for explaining why a model made a specific prediction. 'lime' (a port of the 'lime' 'Python' package) is a method for explaining the outcome of black box models by fitting a local model around the point in question an perturbations of this point. The approach is described in more detail in the article by Ribeiro et al. (2016) . authors: - family-names: Hvitfeldt given-names: Emil email: emilhhvitfeldt@gmail.com orcid: https://orcid.org/0000-0002-0679-1945 - family-names: Pedersen given-names: Thomas Lin email: thomasp85@gmail.com orcid: https://orcid.org/0000-0002-5147-4711 - family-names: Benesty given-names: Michaël email: michael@benesty.fr repository: https://thomasp85.r-universe.dev repository-code: https://github.com/thomasp85/lime commit: 301be637ef52c1b354ccf9d8b468a466a47485f3 url: https://lime.data-imaginist.com contact: - family-names: Hvitfeldt given-names: Emil email: emilhhvitfeldt@gmail.com orcid: https://orcid.org/0000-0002-0679-1945