code: def test_pred_blend():
      """[Parallel | Learner | Blend | Wrapper] test predict"""
      run("blend", "predict")
  
imports: import numpy
  from mlens.testing import Data, EstimatorContainer
  from mlens.parallel import Group, Learner, Pipeline, run
  from mlens.utils.dummy import OLS, Scale
  from mlens.externals.sklearn.base import clone
label_desc: Use image node_id 9 for calling a global function with example usage: test_pred_blend() without return types