TML: Tropical Geometry Tools for Machine Learning
Suite of tropical geometric tools for use in machine learning applications. These methods may be summarized in the following references: Yoshida, et al. (2022) <doi:10.48550/arXiv.2209.15045>, Barnhill et al. (2023) <doi:10.48550/arXiv.2303.02539>, Barnhill and Yoshida (2023) <doi:10.3390/math11153433>, Aliatimis et al. (2023) <doi:10.48550/arXiv.2306.08796>, Yoshida et al. (2022) <doi:10.48550/arXiv.2206.04206>, and Yoshida et al. (2019) <doi:10.1007/s11538-018-0493-4>.
| Version: |
1.2.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
MASS, Matrix, RcppAlgos, Rfast, combinat, gtools, lpSolve, lpSolveAPI, magick, miscTools, phangorn, rcdd, rgl, ape, phytools, maps, cluster, ROCR, stringr, stats |
| Published: |
2023-12-14 |
| Author: |
David Barnhill 
[aut, cre],
Ruriko Yoshida [aut],
Georgios Aliatimis [aut],
Keiji Miura [aut] |
| Maintainer: |
David Barnhill <david.barnhill at nps.edu> |
| BugReports: |
https://github.com/barnhilldave/TML/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/barnhilldave/TML |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
TML results |
Documentation:
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