AutoNN
Automatic Neural Network Modeling for Time Series Forecasting
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | AutoNN_0.1.0.tar.gz |
11.0 KiB |
0.1.0 |
rolling linux/noble R-4.5 | AutoNN_0.1.0.tar.gz |
10.9 KiB |
0.1.0 |
rolling source/ R- | AutoNN_0.1.0.tar.gz |
2.4 KiB |
0.1.0 |
latest linux/jammy R-4.5 | AutoNN_0.1.0.tar.gz |
11.0 KiB |
0.1.0 |
latest linux/noble R-4.5 | AutoNN_0.1.0.tar.gz |
10.9 KiB |
0.1.0 |
latest source/ R- | AutoNN_0.1.0.tar.gz |
2.4 KiB |
0.1.0 |
2026-04-23 source/ R- | AutoNN_0.1.0.tar.gz |
0 B |