code: def get_prediction(
      target,
      prediction_length=1,
      season_length=1,
      imputation_method=LastValueImputation(),
  ):
      pred = SeasonalNaivePredictor(
          prediction_length=prediction_length,
          season_length=season_length,
          imputation_method=imputation_method,
      )
      item = {
          "target": np.asarray(target),
          "start": pd.Period(START_DATE, freq=FREQ),
      }
      forecast = pred.predict_item(item)
  
      return forecast
  
imports: import numpy
  import pandas
  import pytest
  from gluonts.model.seasonal_naive import SeasonalNaivePredictor
  from gluonts.transform.feature import LastValueImputation, LeavesMissingValues
label_desc: Use image node_id 1 for calling a global function with example usage: get_prediction(target, prediction_length, season_length, imputation_method) and returns: forecast