code: def boston_train(size=SIZE):
      data = load_boston()
      X, y = shuffle(data.data, data.target, random_state=13)
      X = X.astype(np.float32)
      return X[:size], y[:size], data.feature_names
  
file_path: eli5/tests/conftest.py
imports: import pytest
  import numpy
  from sklearn.datasets import fetch_20newsgroups, load_boston, load_iris
  from sklearn.utils import shuffle
label_desc: Use image node_id 6 for calling a global function with example usage: boston_train(size) and returns: X,  y,  data