Programming, Data Science, Machine Learning, Python.
>=1 if condition: self.w -= self.lr*(2*self.lambda_param*self.w) else: self.w -= self.lr*(2*self.lambda_param*self.w - np.dot(xi,labels[idx])) self.b -= self.lr*labels[idx] # Predict function to perform classification over new data points def predict(self, X): # predict the label for a new data