got logistic regression and SVM working properly
merge fix
deleting featureExtractor.pyc file and note: I changed the path overlap select look for
finished naive implementaion of K-nearest neihbours. Runs very slowly so
adding optimization of a ball tree.
Finished maxheap, ball tree and k-nn. Time to start testing and
debugging it
finished debugging. running time of about an hour
randomizing helps k_nn, getting about a 30% error rate, better features should help more
logistic_regression: added parameter to penalize misclassifying diseased lot more than normal
logistic_regression seems bad here, hopefully more features will help
Merge branch 'logistic'
changing to use the angular distance
limiting the training dataset again for k_nn
Merge branch 'kmeans_distance'
merge feature upgrade
chose my features for hingeloss and logistic regression
only Indicator R.V features
this damn l.regression won't budge
test the whole dataset
Merge branch 'adv_features'
features.py: changing the overlapSelect Path for others' convenience