code: def test_predict_prep_proba():
      """[Parallel | Layer | Multiprocessing | Full | Proba | No Prep] test predict"""
      args = get_layer("predict", "multiprocessing", "full", True, True)
      run_layer(*args)
  
file_path: mlens/mlens/parallel/tests/test_b3_layer_full.py
imports: from mlens.testing import Data, EstimatorContainer, get_layer, run_layer
label_desc: Use image node_id 11 for calling a global function with example usage: test_predict_prep_proba() without return types