Provides optimal combinations of input nodes and hidden neurons for fitting feedforward single-layer artificial neural networks in time series forecasting. Models are evaluated using root mean square error, mean absolute percentage error, and mean absolute error measures.
| Version: | 0.1.0 |
| Imports: | forecast, MLmetrics |
| Published: | 2026-05-18 |
| DOI: | 10.32614/CRAN.package.AutoNN (may not be active yet) |
| Author: | S. Vishnu Shankar [aut, cre], V. Lavanya [aut] |
| Maintainer: | S. Vishnu Shankar <S.vishnushankar55 at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | AutoNN results |
| Reference manual: | AutoNN.html , AutoNN.pdf |
| Package source: | AutoNN_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): AutoNN_0.1.0.tgz, r-oldrel (arm64): AutoNN_0.1.0.tgz, r-release (x86_64): AutoNN_0.1.0.tgz, r-oldrel (x86_64): AutoNN_0.1.0.tgz |
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