renamed index.js to mlearn.js and updated references
base files for logistic regression classifier
updated references in ex. to learn from index
Added multiple metrics to KNN model

defaults to Euclidian distance, new options Manhattan, Hamming, & Lazy
Manhattan
resized dataset to to 30K rows
updated class to use smarter feature normalization
updated lr classifier example to match api
new params for train / validation size
corrected metric calculations

and added more comments
benchmark file for knn metrics
fixed source urls for metric calculations
added metric type as command line arg to example
added train/val size as cli args to example

node example/knn/classifier.js 27000 100 lazyManhattan
fixed logging in knn benchmark
updated metric calculations
updated digit dataset size back to 42K rows
added weighted knn prediction option
del metrics f/benchmarks that are not implemented
Merge pull request #4 from nichcurtis/master

Base for Logistic Regression + KNN Updates