identity_kernel

explained_instance

simulated_instance

<p>LIME kernel that treats all observations as equally similar to 
observation of interest.</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

identity_kernel function

LIME kernel that treats all observations as equally similar to 
observation of interest. — identity_kernel

LIME kernel that treats all observations as equally similar to 
observation of interest.

identity_kernel: LIME kernel that treats all observations as equally similar to observation of interest.

Description

Usage

Arguments

Value