StreamDM v0.2 release

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

StreamDM Summer 2015 Release Candidate

First release candidate 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.