Initializing HW2: Support Vector Machines
Added SVM Light
Split training files into 10 balanced, randomized slices
Created cross-validate to loop through training files and compile cross-validation results for both linear and polynomial training
Ran cross validation; added commands to get training and test accuracies
File organization and final accuracy results
Summarizing accuracies
Was missing degree for polynomial run; reran
Write-up for the first part of the assignment
Created boost.pl; file read into array
Pseudocode and fleshing out boost.pl script
Added subroutine for updating weight boundaries for roulette selection
Added random number and binary search for roulette wheel
Random selection and printing of training example
Made updateWeights dynamic to accept an array of new weights
Print random instances to a file
Successful run of SVM training and classification.  62.74% accuracy
Error calculated
Alpha calculated
New weights calculated