Creates Random Forest and Stochastic Gradient Boosting Models,
and applies them to GIS .img files to build detailed prediction
maps.
Description
This package will create sophisticated models of training
data and validate the models with an independant test set,
cross validation, or in the case of Random Forest Models, with
Out OF Bag (OOB) predictions on the training data. It will
creat graphs and tables of the model validation results. It
will apply these models to GIS .img files of predictors to
create detailed prediction surfaces. It will handle large
predictor files for map making, by reading in the .img files in
chuncks, and output to the .txt file the prediction for each
data chunk, before reading the next chenk of data.