live_shiny

dataset from which observations will be sampled.

train_data

Pre-trained model with predict interface.

black_box_model

character, name of the response variable.

target

Data frame with predictions to explain.

explained_data

Function that starts a Shiny app which helps use LIVE.

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>.

live_shiny: Function that starts a Shiny app which helps use LIVE.

Description

Usage

Arguments

Value