euclidean_kernel

explained_instance

simulated_instance

<p>LIME kernel equal to the inverse of euclidean distance.</p>

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

Mateusz Staniak

live

Local Interpretable (Model-Agnostic) Visual Explanations

Przemys<c5><82>aw Biecek

euclidean_kernel function

LIME kernel equal to the inverse of euclidean distance. — euclidean_kernel

LIME kernel equal to the inverse of euclidean distance.

euclidean_kernel: LIME kernel equal to the inverse of euclidean distance.

Description

Usage

Arguments

Value