text: from deephyper.benchmark.nas.linearReg.load_data import load_data
  from deephyper.problem import NaProblem
  from deepspace.tabular import OneLayerSpace
  
  
  Problem = NaProblem()
  
  Problem.load_data(load_data)
  
  Problem.search_space(OneLayerSpace)
  
  Problem.hyperparameters(
      batch_size=Problem.add_hyperparameter((1, 100), "batch_size"),
      learning_rate=Problem.add_hyperparameter(
          (1e-4, 1e-1, "log-uniform"), "learning_rate"
      ),
      optimizer=Problem.add_hyperparameter(["adam", "nadam", "rmsprop"], "optimizer"),
      num_epochs=1,
  )
  
  Problem.loss("mse")
  
  Problem.metrics(["r2"])
  
  Problem.objective("val_r2")
  
  
  # Just to print your problem, to test its definition and imports in the current python environment.
  if __name__ == "__main__":
      print(Problem)
  
      model = Problem.get_keras_model([1])
  