code: def fit(self, y):
      shape = y.shape
      if len(shape) == 2 and shape[1] == 1:
          y = y.reshape(-1)
      elif len(shape) != 1:
          raise ValueError("y should be a 1d array, or column")
      self.classes_ = ivy.unique_values(y)
      return self
  
file_path: ivy/ivy/functional/frontends/sklearn/preprocessing/_label.py
imports: from ivy.functional.frontends.sklearn.base import BaseEstimator, TransformerMixin
  import ivy
label_desc: Use image node_id 1 for calling the LabelEncoder obj's underlying member method code with example usage: obj.fit(y) and returns: self