I have two questions about machine learning in Gauss. First, I read the random forests examples. It use the GAUSS Machine Learning (GML) module to execute random forests. I do not know which Gauss packages the GML module include?
Second, where can I find any GAUSS codes to perform the following regressions?
1. Isotonic regression
2. Support Vector Machine (SVM)
3. Bagging (Bootstrap aggregating)
Thanks a lot.
The GAUSS Machine Learning (GML) module has not been released. Here is a link to see the documentation for what is in beta testing right now.