code: def decision_function(self, X):
      pred = safe_sparse_dot(X, self.coef_.T)
      if hasattr(self, "intercept_"):
          pred += self.intercept_
      return pred
  
imports: import numpy
  import scipy.sparse
  import scipy.special
  from sklearn.base import BaseEstimator
  from sklearn.base import ClassifierMixin, RegressorMixin
  from sklearn.utils.extmath import safe_sparse_dot
  from sklearn.preprocessing import LabelBinarizer
  from sklearn.preprocessing import LabelEncoder
  from .randomkit import RandomState
label_desc: Use image node_id 4 for calling the BaseClassifier obj's underlying member method code with example usage: obj.decision_function(X) and returns: pred