added branch - added selector
selector finish. push for testing in cluster
stopped caching categorical because too big
Caching for numpy arrays sparse matrices - push to cluster
got rid of RFE used built in transform and feature selection to randomforrest
Adde dback one-hotting
no more raw_input to start
Got rid of raw_input()
changed location of format cat data
Caterical data in helper.py
number of trees
fixed the wrong cost name bug in model training
Got rid of additional commented lines
load numpy into function for debugging
Caching category mapper, fixed bug
removed buggy clean
Fixed cat mapper bug and added variable table saving
Added user input by variable tables, fixe dnegative value indexing
Nmber of trees optoins
Number of trees options & made include costs a boolean for arguments