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1 parent 10b6161 commit 0637affCopy full SHA for 0637aff
4 files changed
covid_geo_exclusions.csv
@@ -9,9 +9,21 @@ forecast_date,forecaster,geo_value,weight
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2024-10-01, linear, all, 3
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2024-10-01, linearlog, all, 0
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2024-10-01, climate_base, all, 2
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-2024-10-01, climate_geo_agged, all, 0.5
+2024-10-01, climate_geo_agged, all, 0
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2024-10-01, climate_quantile_extrapolated, all, 0
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##################
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+# April 30th
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+##################
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+2025-04-30, all, mp, 0
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+2025-04-30, windowed_seasonal, all, 0.0001
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+2025-04-30, windowed_seasonal_extra_sources, all, 3
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+2025-04-30, climate_linear, all, 0.0001
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+2025-04-30, linear, all, 3
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+2025-04-30, linearlog, all, 0
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+2025-04-30, climate_base, all, 2
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+2025-04-30, climate_geo_agged, all, 0,
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+2025-04-30, climate_quantile_extrapolated, all, 0
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# April 23rd
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2025-04-23, all, mp, 0
flu_geo_exclusions.csv
2024-10-01, linear, all, 2
2024-10-01, climate_base, all, 0.5
-2024-10-01, climate_geo_agged, all, 0.25
+2025-04-30, windowed_seasonal, all, 3
+2025-04-30, climate_linear, all, 3
+2025-04-30, linear, all, 2
+2025-04-30, climate_base, all, 0.5
+2025-04-30, climate_geo_agged, all, 0
scripts/covid_hosp_prod.R
@@ -404,7 +404,7 @@ ensemble_targets <- tar_map(
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),
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params = list(
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disease = "covid",
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- forecast_res = forecasts_and_ensembles,
+ forecast_res = forecasts_and_ensembles %>% ungroup() %>% filter(forecaster != "climate_geo_agged"),
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forecast_date = as.Date(forecast_date_int),
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truth_data = truth_data
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)
scripts/flu_hosp_prod.R
@@ -445,7 +445,7 @@ ensemble_targets <- tar_map(
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disease = "flu",
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+ forecast_res = forecasts_and_ensembles%>% ungroup() %>% filter(forecaster != "climate_geo_agged"),
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