svm_class_init.py

class SVM:
    def __init__(self, X, y, num_of_epochs, lr, C):
        
        self.X = X
        self.y = y
        self.num_of_epochs = num_of_epochs
        self.lr = lr
        self.C = C
        
        # Add column vector of ones for computational convenience 
        self.X = np.column_stack((np.ones(len(X)), X)) 
        
        # Initialize normal vector
        self.w = np.ones(len(self.X[0]))