Test commit
All the rest of the files.
Git ignore file
Documents additions
Initial implementation.
Added Random Forest, k-means and inn enhancements.
minor print change to show how you get back greater than one predication for random forest.
Enhancements for Random forest
Much faster predication due to lowering the number of subtrees.
Additional JPMML util function and test clean up.
Credit approval R and Java
Fixed null classification issue. Was due to feature set elements coming in with extra quotes. I just removed them from the csv file and it just worked.
clean up code.
New feature selection random forest algorithm
updated RF and started with python code examples
Updateded scripts
Merge branch 'master' of https://github.com/lyndonadams/machinelearning