Highlights:
Highlights:
Highlights:
The library support Gradient Boosting, the very good XGBoost and LightGBM librairies are now part of it. This is a first version, the machine learning step work very well but many problems remains with cross validation. Cross validation can be use but it's restricted. Gradient Boosting is surprisingly effective for hyperspectral analysis. If you take a look a the documentation, check the new module 'ml'.
New examples that show the use of Gradient Boosting. Visit the 'ml' module documentation.