class_docstr: Based class for get_prediction results
      
class_docstr_tok: ["Based","class","for","get_prediction","results"]
code: def __init__(
      self,
      predicted,
      var_pred,
      func=None,
      deriv=None,
      df=None,
      dist=None,
      row_labels=None,
      **kwds,
  ):
      self.predicted = predicted
      self.var_pred = var_pred
      self.func = func
      self.deriv = deriv
      self.df = df
      self.row_labels = row_labels
      self.__dict__.update(kwds)
  
      if dist is None or dist == "norm":
          self.dist = stats.norm
          self.dist_args = ()
      elif dist == "t":
          self.dist = stats.t
          self.dist_args = (self.df,)
      else:
          self.dist = dist
          self.dist_args = ()
  
imports: import numpy
  from scipy import stats
  import pandas
label_desc: Use image node_id 1 to create a new PredictionResultsBase object  with example: obj = PredictionResultsBase(predicted, var_pred, func, deriv, df, dist, row_labels)