项目作者: Michael-Bar
项目描述 :
Using machine learning to predict soil properties via infrared spec
高级语言: R
项目地址: git://github.com/Michael-Bar/Machine_learning_infrared.git
Overview
These scripts use mid-infrared spectroscopy data to predict soil properties from a library of wet chemistry results.
The scripts run a PLS and RF algorithm on spectra, the code is augmented with Monte Carlo error estimation and a generalisable code base (to allow more models to be tested)