docs: def fit(self, X, y, **kwargs):
          """
          Parameters
          ----------
          X : ndarray or DataFrame of shape n x m
              A matrix of n instances with m features
  
          y : ndarray or Series of length n
              An array or series of target values
  
          kwargs: keyword arguments passed to Scikit-Learn API.
  
          Returns
          -------
          self : visualizer instance
          """
          super(ResidualsPlot, self).fit(X, y, **kwargs)
          self.score(X, y, train=True)
          return self