code: def baseline_model(download_path):
      return loadmat(os.path.join(download_path, "baseline.mat"))
  
file_path: pykale/tests/embed/test_factorization.py
imports: import os
  import numpy
  import pytest
  from numpy import testing
  from scipy.io import loadmat
  from sklearn.datasets import make_blobs
  from sklearn.preprocessing import OneHotEncoder
  from tensorly.tenalg import multi_mode_dot
  from kale.embed.factorization import MIDA, MPCA
label_desc: Use image node_id 1 for calling a global function with example usage: baseline_model(download_path) and returns: loadmat