theme_drwhy_colors

<p>number of colors for color palette</p>

Provides SHAP explanations of machine learning models. In applied machine learning, there is a strong belief that we need to strike a balance between interpretability and accuracy. However, in field of the Interpretable Machine Learning, there are more and more new ideas for explaining black-box models. One of the best known method for local explanations is SHapley Additive exPlanations (SHAP) introduced by Lundberg, S., et al., (2016) <arXiv:1705.07874> The SHAP method is used to calculate influences of variables on the particular observation. This method is based on Shapley values, a technique used in game theory. The R package 'shapper' is a port of the Python library 'shap'.

Szymon Maksymiuk

shapper

Wrapper of Python Library 'shap'

Alicja Gosiewska

Przemyslaw Biecek

Mateusz Staniak

Michal Burdukiewicz

theme_drwhy_colors function

DrWhy Theme for ggplot objects — theme_drwhy_colors

DrWhy Theme for ggplot objects

theme_drwhy_colors: DrWhy Theme for ggplot objects

Description

Usage

Arguments

Value