code: def fit(self, X, y):
      self.classes_ = np.unique(y)
      if len(self.classes_) == 2:
          coef_, intercept_ = self._fit_binary(X, y)
          self.coef_ = coef_
          self.intercept_ = intercept_
      else:
          coef_, intercept_ = zip(
              *[
                  self._fit_binary(X, y == class_)
                  for class_ in self.classes_
              ]
          )
          self.coef_ = np.concatenate(coef_)
          self.intercept_ = np.array(intercept_).flatten()
      return self
  
imports: from .None import utils
  from .imports import *
label_desc: Use image node_id 2 for calling the NBSVM obj's underlying member method code with example usage: obj.fit(X, y) and returns: self