code: def linnerud(display=False, n_points=None):
      """Return the linnerud data in a nice package (multi-target regression)."""
  
      d = sklearn.datasets.load_linnerud()
      X = pd.DataFrame(d.data, columns=d.feature_names)
      y = pd.DataFrame(d.target, columns=d.target_names)
  
      if n_points is not None:
          X = shap.utils.sample(X, n_points, random_state=0)
          y = shap.utils.sample(y, n_points, random_state=0)
  
      return X, y
  
file_path: shap/shap/datasets.py
imports: import os
  from urllib.request import urlretrieve
  import numpy
  import pandas
  import sklearn.datasets
  import shap
label_desc: Use image node_id 3 for calling a global function with example usage: linnerud(display, n_points) and returns: X,  y