MLSP
Machine Learning Models for Soil Properties
Creates a spectroscopy guideline with a highly accurate prediction model for soil properties using machine learning or deep learning algorithms such as LASSO, Random Forest, Cubist, etc., and decide which algorithm generates the best model for different soil types.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | MLSP_0.1.0.tar.gz |
96.3 KiB |
0.1.0 |
rolling linux/noble R-4.5 | MLSP_0.1.0.tar.gz |
96.2 KiB |
0.1.0 |
rolling source/ R- | MLSP_0.1.0.tar.gz |
12.7 KiB |
0.1.0 |
latest linux/jammy R-4.5 | MLSP_0.1.0.tar.gz |
96.3 KiB |
0.1.0 |
latest linux/noble R-4.5 | MLSP_0.1.0.tar.gz |
96.2 KiB |
0.1.0 |
latest source/ R- | MLSP_0.1.0.tar.gz |
12.7 KiB |
0.1.0 |
2026-04-26 source/ R- | MLSP_0.1.0.tar.gz |
12.7 KiB |
0.1.0 |
2026-04-23 source/ R- | MLSP_0.1.0.tar.gz |
12.7 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | MLSP_0.1.0.zip |
98.3 KiB |