parent_command:forecast
usage: expo [--trend {N,A,M}] [--dampen DAMPEN] [--naive] [-d {AAPL}] [-c TARGET_COLUMN] [-n N_DAYS] [-s {N,A,M}] [-p SEASONAL_PERIODS] [-w START_WINDOW] [--end S_END_DATE] [--start S_START_DATE] [--residuals] [--forecast-only]
            [--export-pred-raw] [--metric {rmse,mse,mape,smape}]

Perform Probabilistic Exponential Smoothing forecast: https://unit8co.github.io/darts/generated_api/darts.models.forecasting.exponential_smoothing.html

optional arguments:
  --trend {N,A,M}       Trend: N: None, A: Additive, M: Multiplicative. (default: A)
  --dampen DAMPEN       Dampening (default: F)
  --naive               Show the naive baseline for a model. (default: False)
  -d {AAPL}, --dataset {AAPL}
                        The name of the dataset you want to select (default: None)
  -c TARGET_COLUMN, --target-column TARGET_COLUMN
                        The name of the specific column you want to use (default: close)
  -n N_DAYS, --n-days N_DAYS
                        prediction days. (default: 5)
  -s {N,A,M}, --seasonal {N,A,M}
                        Seasonality: N: None, A: Additive, M: Multiplicative. (default: A)
  -p SEASONAL_PERIODS, --periods SEASONAL_PERIODS
                        Seasonal periods: 4: Quarterly, 7: Daily (default: 7)
  -w START_WINDOW, --window START_WINDOW
                        Start point for rolling training and forecast window. 0.0-1.0 (default: 0.85)
  --end S_END_DATE      The end date (format YYYY-MM-DD) to select for testing (default: None)
  --start S_START_DATE  The start date (format YYYY-MM-DD) to select for testing (default: None)
  --residuals           Show the residuals for the model. (default: False)
  --forecast-only       Do not plot the historical data without forecasts. (default: False)
  --export-pred-raw     Export predictions to a csv file. (default: False)
  --metric {rmse,mse,mape,smape}
                        Calculate precision based on a specific metric (rmse, mse, mape) (default: mape)


Examples:
- Perform a probabilistic exponential smoothing forecast for <SYMBOL> using default settings: forecast/load <SYMBOL>/expo
- Perform a forecast for <SYMBOL> with a multiplicative trend and a 10-day prediction window: forecast/load <SYMBOL>/expo --trend M -n 10
- Forecast <SYMBOL> with a dampening factor and additive seasonality: forecast/load <SYMBOL>/expo --dampen 0.5 -s A
- Perform a forecast for <SYMBOL> using a specific dataset and target column: forecast/load <SYMBOL>/expo -d MyDataset -c revenue
- Forecast <SYMBOL> with a custom seasonal period and rolling training window: forecast/load <SYMBOL>/expo -p 4 -w 0.9
- Perform a forecast for <SYMBOL> between specific start and end dates: forecast/load <SYMBOL>/expo --start 2022-01-01 --end 2022-12-31
- Display the residuals for the forecast model of <SYMBOL>: forecast/load <SYMBOL>/expo --residuals
- Show only the forecast for <SYMBOL> without historical data: forecast/load <SYMBOL>/expo --forecast-only
- Export the predictions for <SYMBOL> to a csv file: forecast/load <SYMBOL>/expo --export-pred-raw
- Calculate the precision of the forecast for <SYMBOL> using the RMSE metric: forecast/load <SYMBOL>/expo --metric rmse