code: def test_uncertainty_estimation_air_travel():
      log.info("testing: Uncertainty Estimation Air Travel")
      df = pd.read_csv(AIR_FILE)
      m = NeuralProphet(
          seasonality_mode="multiplicative",
          loss_func="MSE",
          quantiles=[0.01, 0.99],
          epochs=EPOCHS,
          batch_size=BATCH_SIZE,
          learning_rate=LR,
      )
      m.fit(df, freq="MS")
      future = m.make_future_dataframe(
          df, periods=50, n_historic_predictions=len(df)
      )
      m.predict(future)
  
file_path: neural_prophet/tests/test_uncertainty.py
imports: import logging
  import os
  import pathlib
  import pandas
  import pytest
  from neuralprophet import NeuralProphet, uncertainty_evaluate
label_desc: Use image node_id 3 for calling a global function with example usage: test_uncertainty_estimation_air_travel() without return types