Install conditions:
1. pyisc framework
2. anaconda2

Stream Generator configuration:
1. In 'Stream_Generator' folder, create a class
2. Fulfill the interfaces from the super class(Generator.py), which are __init__(), Generate_TrainData(), Generate_Stream()
3. Set the parameters and configurations in 'Config_Generator.py'
4. Add the functions in Main.py

Point_AnomalyDetector configuration:
1. In 'Point_AnoamalyDetecor' folder, create a class
2. Fulfill the interfaces from the super class(AnomalyScorer.py), which are __init__(), Train_PointDetector(), anomaly_score(), fit_incrementally().
3. Set the parameters and configurations in 'Config_PointDetector.py'
4. Add the functions in Main.py

Stream_AnomalyDetector configuration:
1. In 'Stream_AnomalyDetector/C++' folder, create a C++ class
2. Fulfill the interfaces of __init__() and check() as the format of 'DDM.cpp'.
3. Compile the C++ with 'g++ test.cpp -fPIC -shared -o test.so' by replacing test with your particular name.
4. In 'Stream_AnomalyDetector' folder, create a class
5. Fulfill the interfaces from the super class(Stream_Detector.py), which are __init__() and check().
6. Set the parameters and configurations in 'Config_StreamDetector.py'
7. Add the functions in Main.py