class_docstr: Represents general prediction model implementations. Each prediction model should provide a fit and a predict
  method.
class_docstr_tok: ["Represents","general","prediction","model","implementations",".","Each","prediction","model","should","provide","a","fit","and","a","predict","method","."]
docstr: Clones the prediction model using the same hyper parameters but not fitted.
  
  :return: An unfitted clone of the prediction model.
docstr_tok: ["Clones","the","prediction","model","using","the","same","hyper","parameters","but","not","fitted",".",":","return",":","An","unfitted","clone","of","the","prediction","model","."]
code: def clone(self):
      """
      Clones the prediction model using the same hyper parameters but not fitted.
  
      :return: An unfitted clone of the prediction model.
      """
      raise NotImplementedError
  
imports: from abc import abstractmethod
  import numpy
label_desc: Use image node_id 3 for calling the PredictionModel obj's underlying member method code with example usage: obj.clone() without return types