tdarec
0.2.1A 'recipes' Extension for Persistent Homology and Its Vectorizations
Overview
Topological data analytic methods in machine learning rely on vectorizations of the persistence diagrams that encode persistent homology, as surveyed by Ali &al (2000) doi:10.48550/arXiv.2212.09703. Persistent homology can be computed using 'TDA' and 'ripserr' and vectorized using 'TDAvec'. The Tidymodels package collection modularizes machine learning in R for straightforward extensibility; see Kuhn & Silge (2022, ISBN:978-1-4920-9644-3). These 'recipe' steps and 'dials' tuners make efficient algorithms for computing and vectorizing persistence diagrams available for Tidymodels workflows.
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- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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- Examples that run
- 100%
- Documented parameters
- 76%
- Return-value docs
- 100%
- References docs
- 0%
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5 development-tooling and community-health practices detected across 5 families in the upstream repository
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3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.2.1Latest
- 0.2.02025-06-20 · diff ↗
- 0.1.02025-05-26
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-05-26
- Total releases
- 3 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 136 KB / 1 file
- Download size
- 670 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet