code: import svm as SVM
  import numpy as np
  
  data_dict = {	-1:np.array(	[[10,9,1],
  				[2,8,1],
  				[3,8,1],]),
               
  		1:np.array(	[[5,1,1],
          	                 [6,-1,1],
          	                 [7,3,1],])}
  
  svm = SVM.Support_Vector_Machine()
  svm.fit(data=data_dict)
  
  predict_us = [[0,10,1],
  	      [1,3,1],
  	      [3,4,1],
  	      [3,5,1],
  	      [5,5,1],
  	      [5,6,1],
  	      [6,-5,1],
  	      [5,8,1]]
  
  for p in predict_us:
  	svm.predict(p)
  svm.visualize()
  
  
apis: numpy.array