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  "Description": "Interpretability of complex machine learning models is a\ngrowing concern. This package helps to understand key factors\nthat drive the decision made by complicated predictive model\n(so called black box model). This is achieved through local\napproximations that are either based on additive regression\nlike model or CART like model that allows for higher\ninteractions. The methodology is based on Tulio Ribeiro, Singh,\nGuestrin (2016) <doi:10.1145/2939672.2939778>. More details can\nbe found in Staniak, Biecek (2018) <doi:10.32614/RJ-2018-072>.",
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