CRAN/E | DALEX

DALEX

moDel Agnostic Language for Exploration and eXplanation

Installation

About

Any unverified black box model is the path to failure. Opaqueness leads to distrust. Distrust leads to ignoration. Ignoration leads to rejection. DALEX package xrays any model and helps to explore and explain its behaviour. Machine Learning (ML) models are widely used and have various applications in classification or regression. Models created with boosting, bagging, stacking or similar techniques are often used due to their high performance. But such black-box models usually lack direct interpretability. DALEX package contains various methods that help to understand the link between input variables and model output. Implemented methods help to explore the model on the level of a single instance as well as a level of the whole dataset. All model explainers are model agnostic and can be compared across different models. DALEX package is the cornerstone for 'DrWhy.AI' universe of packages for visual model exploration. Find more details in (Biecek 2018) .

Citation DALEX citation info
modeloriented.github.io/DALEX/
dalex.drwhy.ai
Bug report File report

Key Metrics

Version 2.4.3
R ≥ 3.5
Published 2023-01-15 458 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks DALEX results

Downloads

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Last 7 days 871 -49%
Last 30 days 5.668 +0%
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Last 365 days 59.197 +12%

Maintainer

Maintainer

Przemyslaw Biecek

przemyslaw.biecek@gmail.com

Authors

Przemyslaw Biecek

aut / cre

Szymon Maksymiuk

aut

Hubert Baniecki

aut

Material

Reference manual
Package source

In Views

MachineLearning
TeachingStatistics

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

DALEX archive

Depends

R ≥ 3.5

Imports

ggplot2
iBreakDown ≥ 1.3.1
ingredients ≥ 2.0

Suggests

gower
ranger
testthat
methods

Reverse Depends

DALEXtra

Reverse Imports

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ceterisParibus
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EIX
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localModel
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modelStudio
oncrawlR
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rSAFE
shapper
survex
triplot
vivo

Reverse Suggests

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