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Machine learning utilities for fast vectorized model training. Methods are based on standard statistical learning references such as Hastie et al. (2009) <doi:10.1007/978-0-387-84858-7>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | methods, Rcpp |
| LinkingTo: | Rcpp |
| Published: | 2026-02-28 |
| DOI: | 10.32614/CRAN.package.VectorForgeML |
| Author: | Musheer Mohd [aut, cre] |
| Maintainer: | Musheer Mohd <musheerayan at gmail.com> |
| BugReports: | https://github.com/mohd-musheer/VectorForgeML/issues |
| License: | Apache License (≥ 2) |
| URL: | https://vectorforgeml.work.gd |
| NeedsCompilation: | yes |
| SystemRequirements: | OpenMP (optional) |
| Citation: | VectorForgeML citation info |
| CRAN checks: | VectorForgeML results |
| Reference manual: | VectorForgeML.html , VectorForgeML.pdf |
| Package source: | VectorForgeML_0.1.0.tar.gz |
| Windows binaries: | r-devel: VectorForgeML_0.1.0.zip, r-release: VectorForgeML_0.1.0.zip, r-oldrel: VectorForgeML_0.1.0.zip |
| macOS binaries: | r-release (arm64): VectorForgeML_0.1.0.tgz, r-oldrel (arm64): VectorForgeML_0.1.0.tgz, r-release (x86_64): VectorForgeML_0.1.0.tgz, r-oldrel (x86_64): VectorForgeML_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
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