added a new function to count the number of nodes in a tree, a different function to prune the tree, and fixed the function to get the features used in a tree
demo of pruning function in treepredict.py
the pruned tree based on the 2011 training set
Merge remote-tracking branch 'upstream/master'
add "input" command line argument
Function to import pickle data as numpy arrays
Import data from pickle instead of spam.mat
add command line arguments to adjust logistic runs
remove unnecessary print statements
use "iterations" command line parameter for both methods
make use of testing data optional
ignore tags file (from ctags)
Use cyclist data with decision trees as well
use "iterations" instead of "rounds"
Don't allow default k to avoid confusion
Use more numpy instead of default lists
Allow k to be a command line parameter
Merge remote-tracking branch 'upstream/master'
Fix profiling code
use numpy arrays for speed