depscope
Packages
IntegrateAPI DocsCuratorBenchmarkCoverage
Sign inGet API access
depscope/conda/r-ingredients

r-ingredients

condav2.3.0

Collection of tools for assessment of feature importance and feature effects. Key functions are: feature_importance() for assessment of global level feature importance, ceteris_paribus() for calculation of the what-if plots, partial_dependence() for partial dependence plots, conditional_dependence() for conditional dependence plots, accumulated_dependence() for accumulated local effects plots, aggregate_profiles() and cluster_profiles() for aggregation of ceteris paribus profiles, generic print() and plot() for better usability of selected explainers, generic plotD3() for interactive, D3 based explanations, and generic describe() for explanations in natural language. The package 'ingredients' is a part of the 'DrWhy.AI' universe (Biecek 2018) <arXiv:1806.08915>.

License GPL-3.0-only7 versions1 maintainers0 deps222 weekly dl
52
/ 100
Health
use with caution

[email protected] low health (52/100) — consider alternatives

  • Moderate health score (52/100) — verify manually
Health breakdown0 – 100
10/25
maintenance
3/20
popularity
25/25
security
12/15
maturity
2/15
community
Vulnerabilities
0
none known

Health History

Dependency Tree

License Audit

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/conda/r-ingredients

First published · 2020-07-01 22:03:28.691000+00:00

Last updated · 2025-09-13 04:41:15.520000+00:00

DepScope

Package intelligence for AI agents. 19 ecosystems.

Resources
API DocumentationHallucination BenchmarkFor EnterpriseSwagger / OpenAPIPopular PackagesCoverageAI Plugin SetupWatch the pitch (60s)
Legal
Legal hubPrivacy PolicyTerms of ServiceCookie PolicyAcceptable UseAttributionDPASub-processorsSecurityImprintContact中文
© 2026 Cuttalo srl — Italy · VAT IT03242390734Built for AI agents