code: def predict_from_csv(self, lines, **kwargs):
      data = np.genfromtxt(lines.split("\n"), delimiter=",")
      return self.predict(data, **kwargs)
  
file_path: sagemaker-python-sdk/tests/data/marketplace/iris/scoring_logic.py
imports: from enum import IntEnum
  import json
  import logging
  import re
  from flask import Flask
  from flask import request
  from joblib import dump, load
  import numpy
  import os
label_desc: Use image node_id 3 for calling the IrisModel obj's underlying member method code with example usage: obj.predict_from_csv(lines) and returns: self