renamed component 0 and 1 to  cap129 and res140
Test Images that Zoher gave me work
doubled amount of training data by transforming all resistors and capacitors with a 180 degree rotation
Serialized a RandomForestClassifier which has been tuned and was trained on 500 plus data set
main2 has a cross val score function that uses KFold to evaluate model score. main3 serialized the tuned RandomForest to 'RF_ResCap.pkl'
Added Hu's 7 Image Moments to the feature set.  Data class added that handles loading and reading filenames.
System for RandomSearch Parameter Tuning works for tuning Random Forests
Serialized a default parameter GradientBoostingClassifier w/ nbins = 23
rbf kernel SVM performs at 98% accuracy. Tuned parameters found through cv_gridsearch
98% accuracy supervised estimator object for classifying Resistors and Capcitors
Added a function that turns a binary prediction of True/False to the predicted component string 'resistor'/'capacitor'
Added class ComponentClassifier with method predict(images, clf=None, nbins=23) which can be used in our main file pipeline.
Update README.md

Included description of Ryan's /circuits directory
Merge branch 'sarah', remote-tracking branch 'origin' into sarah