code: def _get_loss(self, loss):
      losses = {
          "modified_huber": ModifiedHuber(),
          "smooth_hinge": SmoothHinge(self.gamma),
          "squared_hinge": SquaredHinge(1.0),
          "log": Log(),
          "squared": SquaredLoss(),
      }
      return losses[loss]
  
imports: import numpy
  import pytest
  from scipy import sparse
  from sklearn.datasets import make_classification
  from lightning.impl.base import BaseClassifier
  from lightning.impl.dataset_fast import get_dataset
  from lightning.classification import SAGClassifier, SAGAClassifier
  from lightning.regression import SAGRegressor, SAGARegressor
  from lightning.impl.sgd_fast import ModifiedHuber
  from lightning.impl.sgd_fast import SmoothHinge
  from lightning.impl.sgd_fast import SquaredHinge
  from lightning.impl.sgd_fast import Log
  from lightning.impl.sgd_fast import SquaredLoss
  from lightning.impl.sag import get_auto_step_size
  from lightning.impl.tests.utils import check_predict_proba
label_desc: Use image node_id 1 for calling the PySAGClassifier obj's underlying member method code with example usage: obj._get_loss(loss) and returns: losses