code: def test_fit_prep_proba():
      """[Parallel | Layer | Manual | Full | Proba | Prep] test fit"""
      args = get_layer("fit", "manual", "full", True, True)
      run_layer(*args)
  
file_path: mlens/mlens/parallel/tests/test_b1_layer_full.py
imports: from mlens.testing import Data, EstimatorContainer, get_layer, run_layer
label_desc: Use image node_id 10 for calling a global function with example usage: test_fit_prep_proba() without return types