The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=TML
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.