ROC AUC and Average Precision for Binary classification models

Implementation of Receiver Operator Characteristic area under the curve and Average Precision performance metrics for binary classification tasks.

Currently works for

• Logistic regression
• SVM classification

Pull request:
https://github.com/apache/spark/pull/160