code: def get_iris():
      data = load_iris()
      return (
          pd.DataFrame(data.data, columns=data.feature_names),
          pd.Series(data.target, name="target"),
      )
  
imports: import os
  from collections import namedtuple
  import matplotlib.pyplot
  import numpy
  import pandas
  import pytest
  import shap
  from sklearn.datasets import load_diabetes, load_iris
  from sklearn.ensemble import RandomForestClassifier, RandomForestRegressor
  import mlflow
  from mlflow import MlflowClient
label_desc: Use image node_id 2 for calling a global function with example usage: get_iris() and returns: pd,  pd