class_docstr: The pipeline object which is used to store the series of transformation of features and model
class_docstr_tok: ["The","pipeline","object","which","is","used","to","store","the","series","of","transformation","of","features","and","model"]
docstr: predict using the pipeline
  :param input_df: input data frame
  :return: the prediction result
docstr_tok: ["predict","using","the","pipeline",":","param","input_df",":","input","data","frame",":","return",":","the","prediction","result"]
code: def predict(self, input_df):
      """
      predict using the pipeline
      :param input_df: input data frame
      :return: the prediction result
      """
      pass
  
imports: from abc import ABC, abstractmethod
label_desc: Use image node_id 2 for calling the Pipeline obj's underlying member method code with example usage: obj.predict(input_df) without return types