Min Max Modular Support Vector Machine

This method is invented by my Neural Network teacher Prof.Lu.
The basis of the package is libsvm:https://www.csie.ntu.edu.tw/~cjlin/libsvm/
Version: 1.0.0
Date: 2016.03.16 ##Get Started:

1. Install libsvm.
   
2. Download this package.
   
3. Write this code on the top of your py file: from m3svm import *.

4. Read problem data: `m3_read(filename)`
5. Train the data: `m=m3_train(y_train,x_train,option)`. In this code, m represents the model and options are mentioned in the source code.
6. Predict the data: `m3_test(y_test,x_test,model)`