Transform either mean or median model output into a point forecast object:
Source:R/transform_point_model_out.R
transform_point_model_out.RdTransform either mean or median model output into a point forecast object:
Details
This function transforms a model output tibble in the Hubverse format (with either "mean" or "median" output type) to a scoringutils "point" forecast object
Examples
# Median point forecast
median_forecast <- hubExamples::forecast_outputs |>
dplyr::filter(.data[["output_type"]] == "median") |>
transform_point_model_out(
oracle_output = hubExamples::forecast_oracle_output,
output_type = "median"
)
median_forecast
#> Forecast type: point
#> Forecast unit:
#> model, reference_date, target, horizon, location, and target_end_date
#>
#> predicted observed model reference_date target horizon
#> <num> <num> <char> <Date> <char> <int>
#> 1: 51 79 Flusight-baseline 2022-11-19 wk inc flu hosp 0
#> 2: 51 221 Flusight-baseline 2022-11-19 wk inc flu hosp 1
#> 3: 51 446 Flusight-baseline 2022-11-19 wk inc flu hosp 2
#> 4: 51 578 Flusight-baseline 2022-11-19 wk inc flu hosp 3
#> 5: 1052 1230 Flusight-baseline 2022-11-19 wk inc flu hosp 0
#> 6: 1052 1929 Flusight-baseline 2022-11-19 wk inc flu hosp 1
#> 7: 1052 2139 Flusight-baseline 2022-11-19 wk inc flu hosp 2
#> 8: 1052 1781 Flusight-baseline 2022-11-19 wk inc flu hosp 3
#> 9: 582 694 Flusight-baseline 2022-12-17 wk inc flu hosp 0
#> 10: 582 769 Flusight-baseline 2022-12-17 wk inc flu hosp 1
#> 11: 582 733 Flusight-baseline 2022-12-17 wk inc flu hosp 2
#> 12: 582 466 Flusight-baseline 2022-12-17 wk inc flu hosp 3
#> 13: 1791 1462 Flusight-baseline 2022-12-17 wk inc flu hosp 0
#> 14: 1791 1225 Flusight-baseline 2022-12-17 wk inc flu hosp 1
#> 15: 1791 1434 Flusight-baseline 2022-12-17 wk inc flu hosp 2
#> 16: 1791 1170 Flusight-baseline 2022-12-17 wk inc flu hosp 3
#> 17: 43 79 MOBS-GLEAM_FLUH 2022-11-19 wk inc flu hosp 0
#> 18: 45 221 MOBS-GLEAM_FLUH 2022-11-19 wk inc flu hosp 1
#> 19: 43 446 MOBS-GLEAM_FLUH 2022-11-19 wk inc flu hosp 2
#> 20: 43 578 MOBS-GLEAM_FLUH 2022-11-19 wk inc flu hosp 3
#> 21: 1172 1230 MOBS-GLEAM_FLUH 2022-11-19 wk inc flu hosp 0
#> 22: 1072 1929 MOBS-GLEAM_FLUH 2022-11-19 wk inc flu hosp 1
#> 23: 820 2139 MOBS-GLEAM_FLUH 2022-11-19 wk inc flu hosp 2
#> 24: 688 1781 MOBS-GLEAM_FLUH 2022-11-19 wk inc flu hosp 3
#> 25: 596 694 MOBS-GLEAM_FLUH 2022-12-17 wk inc flu hosp 0
#> 26: 664 769 MOBS-GLEAM_FLUH 2022-12-17 wk inc flu hosp 1
#> 27: 575 733 MOBS-GLEAM_FLUH 2022-12-17 wk inc flu hosp 2
#> 28: 408 466 MOBS-GLEAM_FLUH 2022-12-17 wk inc flu hosp 3
#> 29: 1958 1462 MOBS-GLEAM_FLUH 2022-12-17 wk inc flu hosp 0
#> 30: 1671 1225 MOBS-GLEAM_FLUH 2022-12-17 wk inc flu hosp 1
#> 31: 1095 1434 MOBS-GLEAM_FLUH 2022-12-17 wk inc flu hosp 2
#> 32: 685 1170 MOBS-GLEAM_FLUH 2022-12-17 wk inc flu hosp 3
#> 33: 66 79 PSI-DICE 2022-11-19 wk inc flu hosp 0
#> 34: 90 221 PSI-DICE 2022-11-19 wk inc flu hosp 1
#> 35: 121 446 PSI-DICE 2022-11-19 wk inc flu hosp 2
#> 36: 159 578 PSI-DICE 2022-11-19 wk inc flu hosp 3
#> 37: 1172 1230 PSI-DICE 2022-11-19 wk inc flu hosp 0
#> 38: 1226 1929 PSI-DICE 2022-11-19 wk inc flu hosp 1
#> 39: 1233 2139 PSI-DICE 2022-11-19 wk inc flu hosp 2
#> 40: 1195 1781 PSI-DICE 2022-11-19 wk inc flu hosp 3
#> 41: 648 694 PSI-DICE 2022-12-17 wk inc flu hosp 0
#> 42: 613 769 PSI-DICE 2022-12-17 wk inc flu hosp 1
#> 43: 512 733 PSI-DICE 2022-12-17 wk inc flu hosp 2
#> 44: 410 466 PSI-DICE 2022-12-17 wk inc flu hosp 3
#> 45: 1736 1462 PSI-DICE 2022-12-17 wk inc flu hosp 0
#> 46: 1578 1225 PSI-DICE 2022-12-17 wk inc flu hosp 1
#> 47: 1342 1434 PSI-DICE 2022-12-17 wk inc flu hosp 2
#> 48: 1077 1170 PSI-DICE 2022-12-17 wk inc flu hosp 3
#> predicted observed model reference_date target horizon
#> <num> <num> <char> <Date> <char> <int>
#> location target_end_date
#> <char> <Date>
#> 1: 25 2022-11-19
#> 2: 25 2022-11-26
#> 3: 25 2022-12-03
#> 4: 25 2022-12-10
#> 5: 48 2022-11-19
#> 6: 48 2022-11-26
#> 7: 48 2022-12-03
#> 8: 48 2022-12-10
#> 9: 25 2022-12-17
#> 10: 25 2022-12-24
#> 11: 25 2022-12-31
#> 12: 25 2023-01-07
#> 13: 48 2022-12-17
#> 14: 48 2022-12-24
#> 15: 48 2022-12-31
#> 16: 48 2023-01-07
#> 17: 25 2022-11-19
#> 18: 25 2022-11-26
#> 19: 25 2022-12-03
#> 20: 25 2022-12-10
#> 21: 48 2022-11-19
#> 22: 48 2022-11-26
#> 23: 48 2022-12-03
#> 24: 48 2022-12-10
#> 25: 25 2022-12-17
#> 26: 25 2022-12-24
#> 27: 25 2022-12-31
#> 28: 25 2023-01-07
#> 29: 48 2022-12-17
#> 30: 48 2022-12-24
#> 31: 48 2022-12-31
#> 32: 48 2023-01-07
#> 33: 25 2022-11-19
#> 34: 25 2022-11-26
#> 35: 25 2022-12-03
#> 36: 25 2022-12-10
#> 37: 48 2022-11-19
#> 38: 48 2022-11-26
#> 39: 48 2022-12-03
#> 40: 48 2022-12-10
#> 41: 25 2022-12-17
#> 42: 25 2022-12-24
#> 43: 25 2022-12-31
#> 44: 25 2023-01-07
#> 45: 48 2022-12-17
#> 46: 48 2022-12-24
#> 47: 48 2022-12-31
#> 48: 48 2023-01-07
#> location target_end_date
#> <char> <Date>
# Mean point forecast
mean_forecast <- hubExamples::forecast_outputs |>
dplyr::filter(.data[["output_type"]] == "mean") |>
transform_point_model_out(
oracle_output = hubExamples::forecast_oracle_output,
output_type = "mean"
)
mean_forecast
#> Forecast type: point
#> Forecast unit:
#> model, reference_date, target, horizon, location, and target_end_date
#>
#> predicted observed model reference_date target
#> <num> <num> <char> <Date> <char>
#> 1: 51.18476 79 Flusight-baseline 2022-11-19 wk inc flu hosp
#> 2: 51.39129 221 Flusight-baseline 2022-11-19 wk inc flu hosp
#> 3: 51.89889 446 Flusight-baseline 2022-11-19 wk inc flu hosp
#> 4: 52.54409 578 Flusight-baseline 2022-11-19 wk inc flu hosp
#> 5: 1052.09543 1230 Flusight-baseline 2022-11-19 wk inc flu hosp
#> 6: 1052.03144 1929 Flusight-baseline 2022-11-19 wk inc flu hosp
#> 7: 1050.96930 2139 Flusight-baseline 2022-11-19 wk inc flu hosp
#> 8: 1052.50018 1781 Flusight-baseline 2022-11-19 wk inc flu hosp
#> 9: 581.85858 694 Flusight-baseline 2022-12-17 wk inc flu hosp
#> 10: 582.06888 769 Flusight-baseline 2022-12-17 wk inc flu hosp
#> 11: 582.18895 733 Flusight-baseline 2022-12-17 wk inc flu hosp
#> 12: 581.70341 466 Flusight-baseline 2022-12-17 wk inc flu hosp
#> 13: 1791.21527 1462 Flusight-baseline 2022-12-17 wk inc flu hosp
#> 14: 1790.07008 1225 Flusight-baseline 2022-12-17 wk inc flu hosp
#> 15: 1790.40082 1434 Flusight-baseline 2022-12-17 wk inc flu hosp
#> 16: 1790.67826 1170 Flusight-baseline 2022-12-17 wk inc flu hosp
#> 17: 44.62361 79 MOBS-GLEAM_FLUH 2022-11-19 wk inc flu hosp
#> 18: 46.90887 221 MOBS-GLEAM_FLUH 2022-11-19 wk inc flu hosp
#> 19: 45.85161 446 MOBS-GLEAM_FLUH 2022-11-19 wk inc flu hosp
#> 20: 47.15687 578 MOBS-GLEAM_FLUH 2022-11-19 wk inc flu hosp
#> 21: 1168.02069 1230 MOBS-GLEAM_FLUH 2022-11-19 wk inc flu hosp
#> 22: 1073.21815 1929 MOBS-GLEAM_FLUH 2022-11-19 wk inc flu hosp
#> 23: 825.96336 2139 MOBS-GLEAM_FLUH 2022-11-19 wk inc flu hosp
#> 24: 701.17279 1781 MOBS-GLEAM_FLUH 2022-11-19 wk inc flu hosp
#> 25: 631.12719 694 MOBS-GLEAM_FLUH 2022-12-17 wk inc flu hosp
#> 26: 704.73469 769 MOBS-GLEAM_FLUH 2022-12-17 wk inc flu hosp
#> 27: 604.88211 733 MOBS-GLEAM_FLUH 2022-12-17 wk inc flu hosp
#> 28: 428.16205 466 MOBS-GLEAM_FLUH 2022-12-17 wk inc flu hosp
#> 29: 1978.39990 1462 MOBS-GLEAM_FLUH 2022-12-17 wk inc flu hosp
#> 30: 1710.46963 1225 MOBS-GLEAM_FLUH 2022-12-17 wk inc flu hosp
#> 31: 1140.22637 1434 MOBS-GLEAM_FLUH 2022-12-17 wk inc flu hosp
#> 32: 724.21445 1170 MOBS-GLEAM_FLUH 2022-12-17 wk inc flu hosp
#> 33: 67.62974 79 PSI-DICE 2022-11-19 wk inc flu hosp
#> 34: 91.91770 221 PSI-DICE 2022-11-19 wk inc flu hosp
#> 35: 123.36858 446 PSI-DICE 2022-11-19 wk inc flu hosp
#> 36: 158.84921 578 PSI-DICE 2022-11-19 wk inc flu hosp
#> 37: 1171.85295 1230 PSI-DICE 2022-11-19 wk inc flu hosp
#> 38: 1222.15034 1929 PSI-DICE 2022-11-19 wk inc flu hosp
#> 39: 1227.52430 2139 PSI-DICE 2022-11-19 wk inc flu hosp
#> 40: 1190.16311 1781 PSI-DICE 2022-11-19 wk inc flu hosp
#> 41: 602.31998 694 PSI-DICE 2022-12-17 wk inc flu hosp
#> 42: 594.46223 769 PSI-DICE 2022-12-17 wk inc flu hosp
#> 43: 514.95352 733 PSI-DICE 2022-12-17 wk inc flu hosp
#> 44: 454.32435 466 PSI-DICE 2022-12-17 wk inc flu hosp
#> 45: 1733.13521 1462 PSI-DICE 2022-12-17 wk inc flu hosp
#> 46: 1569.99346 1225 PSI-DICE 2022-12-17 wk inc flu hosp
#> 47: 1341.15016 1434 PSI-DICE 2022-12-17 wk inc flu hosp
#> 48: 1080.24987 1170 PSI-DICE 2022-12-17 wk inc flu hosp
#> predicted observed model reference_date target
#> <num> <num> <char> <Date> <char>
#> horizon location target_end_date
#> <int> <char> <Date>
#> 1: 0 25 2022-11-19
#> 2: 1 25 2022-11-26
#> 3: 2 25 2022-12-03
#> 4: 3 25 2022-12-10
#> 5: 0 48 2022-11-19
#> 6: 1 48 2022-11-26
#> 7: 2 48 2022-12-03
#> 8: 3 48 2022-12-10
#> 9: 0 25 2022-12-17
#> 10: 1 25 2022-12-24
#> 11: 2 25 2022-12-31
#> 12: 3 25 2023-01-07
#> 13: 0 48 2022-12-17
#> 14: 1 48 2022-12-24
#> 15: 2 48 2022-12-31
#> 16: 3 48 2023-01-07
#> 17: 0 25 2022-11-19
#> 18: 1 25 2022-11-26
#> 19: 2 25 2022-12-03
#> 20: 3 25 2022-12-10
#> 21: 0 48 2022-11-19
#> 22: 1 48 2022-11-26
#> 23: 2 48 2022-12-03
#> 24: 3 48 2022-12-10
#> 25: 0 25 2022-12-17
#> 26: 1 25 2022-12-24
#> 27: 2 25 2022-12-31
#> 28: 3 25 2023-01-07
#> 29: 0 48 2022-12-17
#> 30: 1 48 2022-12-24
#> 31: 2 48 2022-12-31
#> 32: 3 48 2023-01-07
#> 33: 0 25 2022-11-19
#> 34: 1 25 2022-11-26
#> 35: 2 25 2022-12-03
#> 36: 3 25 2022-12-10
#> 37: 0 48 2022-11-19
#> 38: 1 48 2022-11-26
#> 39: 2 48 2022-12-03
#> 40: 3 48 2022-12-10
#> 41: 0 25 2022-12-17
#> 42: 1 25 2022-12-24
#> 43: 2 25 2022-12-31
#> 44: 3 25 2023-01-07
#> 45: 0 48 2022-12-17
#> 46: 1 48 2022-12-24
#> 47: 2 48 2022-12-31
#> 48: 3 48 2023-01-07
#> horizon location target_end_date
#> <int> <char> <Date>