code: def test_predict_proba():
      """[Parallel | Layer | Multiprocessing | Subset | Proba | No Prep] test predict"""
      args = get_layer(
          "predict", "multiprocessing", "subsemble", True, False
      )
      run_layer(*args)
  
file_path: mlens/mlens/parallel/tests/test_b3_layer_subset.py
imports: from mlens.testing import Data, EstimatorContainer, get_layer, run_layer
label_desc: Use image node_id 8 for calling a global function with example usage: test_predict_proba() without return types