code: def _get_objective(self, df, y, loss):
      return self.C * loss.objective(df, y)
  
imports: import numpy
  from sklearn.utils.extmath import safe_sparse_dot
  from .base import BaseClassifier, BaseRegressor
  from .dataset_fast import get_dataset
  from .loss_fast import Squared
  from .loss_fast import SquaredHinge
  from .loss_fast import MulticlassSquaredHinge
  from .loss_fast import MulticlassLog
  from .penalty import L1Penalty
  from .penalty import L1L2Penalty
  from .penalty import TracePenalty
  from .penalty import SimplexConstraint
  from .penalty import L1BallConstraint
  from .penalty import TotalVariation1DPenalty
label_desc: Use image node_id 2 for calling the _BaseFista obj's underlying member method code with example usage: obj._get_objective(df, y, loss) and returns: unknown