Second release for StreamDM.
It contains the first iteration of the StreamDM API, and implements the following methods:
Classification: SGD Learner, Perceptron, Naive Bayes, and Hoeffding Decision Trees;
Clustering: CluStream and StreamKM++;
Ensembles: Bagging.
It uses weka's arff format as the default data description and contains following data generators:
HyperplaneGenerator
RandomTreeGenerator
RandomRBFGenerator
RandomRBFEventsGenerator