cassidys

from hipsternet/hipsternet/loss.py [line 112](https://github.com/wiseodd/hipsternet/blob/563de653827c460c9c1c7722ae7eecc67fe2f8a4/hipsternet/loss.py#L112) ``` def l1_regression(model, y_pred, y_train, lam=1e-3): m = y_pred.shape[0] data_loss = np.sum(np.abs(y_train - y_pred)) / m reg_loss = regularization(model, reg_type='l2', lam=lam) #