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Merge pull request #296 from cmu-delphi/ndefries/drop-unused-forecasters
Drop non-included forecasters
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Report/create_reports.R

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@@ -30,22 +30,29 @@ prediction_cards_filepath <- case_when(
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options(warn = 1)
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# Requested forecasters that do not get included in final scores:
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# Auquan-SEIR: Only predicts cumulative deaths
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# CDDEP-ABM: No longer on Forecast Hub. Causes some warnings when trying to download.
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# CDDEP-SEIR_MCMC: County-level predictions only
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# CUBoulder-COVIDLSTM: County-level predictions only
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# FAIR-NRAR: County-level predictions only
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# HKUST-DNN: Only predicts cumulative deaths
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# ISUandPKU-vSEIdR: Folder but no forecasts on Forecast Hub
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# PandemicCentral-COVIDForest: County-level predictions only
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# UT_GISAG-SPDM: County-level predictions only
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# WalmartLabsML-LogForecasting: Only predicts cumulative deaths
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# Yu_Group-CLEP: County-level predictions only
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forecasters <- unique(c(
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get_covidhub_forecaster_names(designations = c("primary", "secondary")),
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"COVIDhub-baseline", "COVIDhub-trained_ensemble", "COVIDhub-4_week_ensemble"
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))
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)) %>%
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# Drop invalid forecasters
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setdiff(c(
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# Forecasters that have no data on Forecast Hub
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"CDDEP-ABM", # No longer on Forecast Hub. Causes some warnings when trying to download.
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"ISUandPKU-vSEIdR", # Folder but no forecasts on Forecast Hub
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# Forecasters that don't qualify for inclusion in the dashboard (wrong geo
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# level, wrong target variable)
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"Auquan-SEIR", # Only predicts cumulative deaths
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"CDDEP-SEIR_MCMC", # County-level predictions only
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"CUBoulder-COVIDLSTM", # County-level predictions only
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"FAIR-NRAR", # County-level predictions only
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"HKUST-DNN", # Only predicts cumulative deaths
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"PandemicCentral-COVIDForest", # County-level predictions only
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"UT_GISAG-SPDM", # County-level predictions only
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"WalmartLabsML-LogForecasting", # Only predicts cumulative deaths
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"Yu_Group-CLEP" # County-level predictions only
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))
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locations <- covidHubUtils::hub_locations
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# also includes "us", which is national level data

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