live

Local Interpretable (Model-agnostic) Visual Explanations - model visualization for regression problems and tabular data based on LIME method. Available on CRAN

https://github.com/modeloriented/live

Science Score: 10.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: zenodo.org
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (14.5%) to scientific vocabulary

Keywords

iml interpretability lime machine-learning model-visualization visual-explanations xai
Last synced: 6 months ago · JSON representation

Repository

Local Interpretable (Model-agnostic) Visual Explanations - model visualization for regression problems and tabular data based on LIME method. Available on CRAN

Basic Info
Statistics
  • Stars: 35
  • Watchers: 8
  • Forks: 5
  • Open Issues: 1
  • Releases: 0
Topics
iml interpretability lime machine-learning model-visualization visual-explanations xai
Created over 8 years ago · Last pushed over 6 years ago
Metadata Files
Readme License

README.md

live: Local Interpretable (Model-agnostic) Visual Explanations

CRAN_Status_Badge Downloads Total Downloads Build Status Coverage Status DOI Tweet

Installation

To get started, install stable CRAN version:

install.packages("live")

or the development version:

devtools::install_github("ModelOriented/live")

See the latest changes.

Features coming up next:

  • better support for comparing explanations for different models / different instances,

  • improved Shiny application (see live_shiny function in development version).

If you have any bug reports, feature requests or ideas to improve the methodology, feel free to leave an issue.

Materials

Find the paper about live and breakDown in R Journal.

Website: https://mi2datalab.github.io/live/

Conference talks on live: Wrocław 2018, Berlin 2017.

Python implementation of LIME and info about the method: https://github.com/marcotcr/lime

Owner

  • Name: Model Oriented
  • Login: ModelOriented
  • Kind: organization
  • Location: MI2DataLab @ Warsaw University of Technology

GitHub Events

Total
  • Watch event: 1
Last Year
  • Watch event: 1

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 331
  • Total Committers: 3
  • Avg Commits per committer: 110.333
  • Development Distribution Score (DDS): 0.169
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Mateusz Staniak m****k@m****l 275
Mateusz Staniak m****t@m****l 36
Przemysław Biecek p****k@g****m 20
Committer Domains (Top 20 + Academic)

Packages

  • Total packages: 1
  • Total downloads:
    • cran 306 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 10
  • Total maintainers: 1
cran.r-project.org: live

Local Interpretable (Model-Agnostic) Visual Explanations

  • Versions: 10
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 306 Last month
Rankings
Stargazers count: 8.9%
Forks count: 9.1%
Average: 23.2%
Dependent packages count: 29.8%
Downloads: 32.7%
Dependent repos count: 35.5%
Last synced: 7 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.0.2 depends
  • MASS * imports
  • breakDown * imports
  • data.table * imports
  • dplyr * imports
  • e1071 * imports
  • forestmodel * imports
  • ggplot2 * imports
  • gower * imports
  • mlr * imports
  • shiny * imports
  • DALEX * suggests
  • covr * suggests
  • glmnet * suggests
  • knitr * suggests
  • rmarkdown * suggests
  • testthat * suggests