code: def _get_penalty(self):
      penalties = {
          "nn": -1,
          "nnl1": -1,
          "nnl2": -2,
          "l1": 1,
          "l2": 2,
          "l1/l2": 12,
      }
      return penalties[self.penalty]
  
imports: import warnings
  import numpy
  from sklearn.utils import check_random_state
  from sklearn.utils.extmath import safe_sparse_dot
  from sklearn.utils.validation import assert_all_finite
  from .base import BaseClassifier
  from .base import BaseRegressor
  from .dataset_fast import get_dataset
  from .sgd_fast import _binary_sgd
  from .sgd_fast import _multiclass_sgd
  from .sgd_fast import ModifiedHuber
  from .sgd_fast import Hinge
  from .sgd_fast import SquaredHinge
  from .sgd_fast import Log
  from .sgd_fast import SquaredLoss
  from .sgd_fast import Huber
  from .sgd_fast import EpsilonInsensitive
  from .sgd_fast import MulticlassLog
  from .sgd_fast import MulticlassHinge
  from .sgd_fast import MulticlassSquaredHinge
label_desc: Use image node_id 1 for calling the _BaseSGD obj's underlying member method code with example usage: obj._get_penalty() and returns: penalties