Transform quantile model output into a forecast object

Usage

transform_quantile_model_out(model_out_tbl, oracle_output)

Arguments

model_out_tbl: Model output tibble with predictions
oracle_output: Predictions that would have been generated by an oracle model that knew the observed target data values in advance

Value

forecast_quantile

Examples

quantile_forecast <- hubExamples::forecast_outputs |>
  dplyr::filter(.data[["output_type"]] == "quantile") |>
  transform_quantile_model_out(
    oracle_output = hubExamples::forecast_oracle_output
  )
quantile_forecast
#> Forecast type: quantile
#> Forecast unit:
#> model, reference_date, target, horizon, location, and target_end_date
#> 
#>      quantile_level predicted observed             model reference_date
#>               <num>     <num>    <num>            <char>         <Date>
#>   1:           0.05        22       79 Flusight-baseline     2022-11-19
#>   2:           0.10        31       79 Flusight-baseline     2022-11-19
#>   3:           0.25        45       79 Flusight-baseline     2022-11-19
#>   4:           0.50        51       79 Flusight-baseline     2022-11-19
#>   5:           0.75        57       79 Flusight-baseline     2022-11-19
#>  ---                                                                   
#> 332:           0.25       914     1170          PSI-DICE     2022-12-17
#> 333:           0.50      1077     1170          PSI-DICE     2022-12-17
#> 334:           0.75      1240     1170          PSI-DICE     2022-12-17
#> 335:           0.90      1396     1170          PSI-DICE     2022-12-17
#> 336:           0.95      1490     1170          PSI-DICE     2022-12-17
#>               target horizon location target_end_date
#>               <char>   <int>   <char>          <Date>
#>   1: wk inc flu hosp       0       25      2022-11-19
#>   2: wk inc flu hosp       0       25      2022-11-19
#>   3: wk inc flu hosp       0       25      2022-11-19
#>   4: wk inc flu hosp       0       25      2022-11-19
#>   5: wk inc flu hosp       0       25      2022-11-19
#>  ---                                                 
#> 332: wk inc flu hosp       3       48      2023-01-07
#> 333: wk inc flu hosp       3       48      2023-01-07
#> 334: wk inc flu hosp       3       48      2023-01-07
#> 335: wk inc flu hosp       3       48      2023-01-07
#> 336: wk inc flu hosp       3       48      2023-01-07