CRAN/E | triplot

triplot

Explaining Correlated Features in Machine Learning Models

Installation

About

Tools for exploring effects of correlated features in predictive models. The predict_triplot() function delivers instance-level explanations that calculate the importance of the groups of explanatory variables. The model_triplot() function delivers data-level explanations. The generic plot function visualises in a concise way importance of hierarchical groups of predictors. All of the the tools are model agnostic, therefore works for any predictive machine learning models. Find more details in Biecek (2018) .

github.com/ModelOriented/triplot
Bug report File report

Key Metrics

Version 1.3.0
R ≥ 3.6
Published 2020-07-13 1354 days ago
Needs compilation? no
License GPL-3
CRAN checks triplot results
Language en-US

Downloads

Yesterday 8 0%
Last 7 days 30 -35%
Last 30 days 142 +8%
Last 90 days 590 +42%
Last 365 days 1.908 -22%

Maintainer

Maintainer

Katarzyna Pekala

katarzyna.pekala@gmail.com

Authors

Katarzyna Pekala

aut / cre

Przemyslaw Biecek

aut

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

triplot archive

Depends

R ≥ 3.6

Imports

ggplot2
DALEX ≥ 1.3
glmnet
ggdendro
patchwork

Suggests

testthat
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