Artificial Intelligence, Artificial Neural Network, Computer Science, Linear Regression, Python.
learning rate self.beta -= self.learning_rate * self.derivate_bias(y, y_prime) #Adjust parameters based on the learning rate loss = self.loss_function(y, y_prime) #Keep the best set of parameters found if best_loss == -1 or loss < best_loss: best_loss = loss best_theta = self.theta best_beta =