code: def tuner():
      model = mz.models.DenseBaseline()
      prpr = model.get_default_preprocessor()
      train_raw = mz.datasets.toy.load_data("train")
      dev_raw = mz.datasets.toy.load_data("dev")
      prpr.fit(train_raw)
      model.params.update(prpr.context)
      model.guess_and_fill_missing_params()
      return mz.auto.Tuner(
          params=model.params,
          train_data=prpr.transform(train_raw, verbose=0),
          test_data=prpr.transform(dev_raw, verbose=0),
      )
  
imports: import pytest
  import matchzoo
label_desc: Use image node_id 1 for calling a global function with example usage: tuner() and returns: mz