text: from utils import tune
  
  algo = dict(
      name="npts",
      hyperparameters={
          "forecaster_name": "gluonts.model.npts.NPTSEstimator",
      },
      changing_hyperparameters={
          # "learning_rate": [0.0001, 0.001, 0.01], # no learning rate as it is a predictor
          "context_length": [
              {"$eval": "$trial.dataset.meta.prediction_length"},
              {"$eval": "2 * $trial.dataset.meta.prediction_length"},
          ],
          "use_seasonal_model": [True, False],
          "use_default_time_features": [True, False],
          "feature_scale": [500, 1000, 1500],
      },
  )
  
  tune(algo)
  