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update organisation name across repo
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sbfnk committed Oct 17, 2023
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4 changes: 2 additions & 2 deletions .github/CODEOWNERS
Validating CODEOWNERS rules …
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# Catch-all rule
/data-processed/ @covid19-forecast-hub-europe/ecdc
/model-metadata/ @covid19-forecast-hub-europe/ecdc
/data-processed/ @european-modelling-hubs/ecdc
/model-metadata/ @european-modelling-hubs/ecdc
2 changes: 1 addition & 1 deletion .github/workflows/ValidationV2.yml
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Expand Up @@ -15,7 +15,7 @@ jobs:
steps:
- uses: actions/checkout@v3
with:
repository: 'epiforecasts/covid19-forecast-hub-europe-validations'
repository: 'european-modelling-hubs/covid19-forecast-hub-europe-validations'

- name: Setup Python
uses: actions/setup-python@v2
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2 changes: 1 addition & 1 deletion .github/workflows/reports-country.yml
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Expand Up @@ -59,7 +59,7 @@ jobs:
env:
GITHUB_TOKEN: ${{ secrets.FORECASTHUB_TOKEN }}
run: |
gh workflow run build-and-deploy.yml -R covid19-forecast-hub-europe/covid19-forecast-hub-europe-website
gh workflow run build-and-deploy.yml -R european-modelling-hubs/covid19-forecast-hub-europe-website
- name: Create issue about failure
if: failure() && github.event_name != 'workflow_dispatch' && github.event_name != 'pull_request'
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2 changes: 1 addition & 1 deletion .github/workflows/reports-model.yml
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Expand Up @@ -59,7 +59,7 @@ jobs:
env:
GITHUB_TOKEN: ${{ secrets.FORECASTHUB_TOKEN }}
run: |
gh workflow run build-and-deploy.yml -R covid19-forecast-hub-europe/covid19-forecast-hub-europe-website
gh workflow run build-and-deploy.yml -R european-modelling-hubs/covid19-forecast-hub-europe-website
- name: Create issue about failure
if: failure() && github.event_name != 'workflow_dispatch' && github.event_name != 'pull_request'
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2 changes: 1 addition & 1 deletion .gitmodules
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@@ -1,4 +1,4 @@
[submodule "validation"]
path = validation
url = https://github.com/epiforecasts/covid19-forecast-hub-europe-validations
url = https://github.com/european-modelling-hubs/covid19-forecast-hub-europe-validations
ignore = all
2 changes: 1 addition & 1 deletion DESCRIPTION
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Expand Up @@ -3,4 +3,4 @@ Version: 0.1
Depends:
HubValidations
Remotes:
covid19-forecast-hub-europe/HubValidations
european-modelling-hubs/HubValidations
2 changes: 1 addition & 1 deletion README.Rmd
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Expand Up @@ -19,7 +19,7 @@ We are aggregating forecasts of new cases and deaths due to Covid-19 over the ne

* View the [current forecasts](https://covid19forecasthub.eu/visualisation)
* We publish a weekly [evaluation](https://covid19forecasthub.eu/reports) of current forecasts
* Raw forecast files are in the [data-processed](https://github.com/epiforecasts/covid19-forecast-hub-europe/tree/main/data-processed) folder
* Raw forecast files are in the [data-processed](https://github.com/european-modelling-hubs/covid19-forecast-hub-europe/tree/main/data-processed) folder

##### README contents

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -14,7 +14,7 @@ over the next four weeks in countries across Europe and the UK.
[evaluation](https://covid19forecasthub.eu/reports) of current
forecasts
- Raw forecast files are in the
[data-processed](https://github.com/epiforecasts/covid19-forecast-hub-europe/tree/main/data-processed)
[data-processed](https://github.com/european-modelling-hubs/covid19-forecast-hub-europe/tree/main/data-processed)
folder

##### README contents
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2 changes: 1 addition & 1 deletion code/auto_download/check_revisions.R
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Expand Up @@ -19,7 +19,7 @@ target_variables <-
Deaths = "inc death",
Hospitalizations = "inc hosp")

owner <- "covid19-forecast-hub-europe"
owner <- "european-modelling-hubs"
repo <- "covid19-forecast-hub-europe"
path <- vapply(names(sources), function(x) {
paste("data-truth", sources[[x]],
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2 changes: 1 addition & 1 deletion code/reports/country/country-report.Rmd
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Expand Up @@ -6,7 +6,7 @@ params:
plot_weeks: 4
report_models: "EuroCOVIDhub-ensemble"
data_weeks: 10
config: "https://raw.githubusercontent.com/epiforecasts/covid19-forecast-hub-europe/main/project-config.json"
config: "https://raw.githubusercontent.com/european-modelling-hubs/covid19-forecast-hub-europe/main/project-config.json"
output:
html_document:
theme: yeti
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2 changes: 1 addition & 1 deletion code/reports/hub/hub-report.Rmd
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Expand Up @@ -127,7 +127,7 @@ models |>
### Complete model information

```{r table-metadata}
github_repo <- "epiforecasts/covid19-forecast-hub-europe"
github_repo <- "european-modelling-hubs/covid19-forecast-hub-europe"
team_df <-
gh::gh(
"/repos/{github_repo}/contents/{path}",
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2 changes: 1 addition & 1 deletion code/reports/models/model-report.Rmd
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Expand Up @@ -6,7 +6,7 @@ params:
data_weeks: "10"
model: "EuroCOVIDhub-ensemble"
report_models: "EuroCOVIDhub-ensemble"
config: "https://raw.githubusercontent.com/epiforecasts/covid19-forecast-hub-europe/main/project-config.json"
config: "https://raw.githubusercontent.com/european-modelling-hubs/covid19-forecast-hub-europe/main/project-config.json"
output:
html_document:
theme: yeti
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4 changes: 2 additions & 2 deletions code/reports/rmdchunks/evaluation-footer.Rmd
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@@ -1,6 +1,6 @@
<!--- Footer about GitHub repository and where to find data for individual
models --->
If you would like to learn more about a model, you can go the the
[`data-processed` folder](https://github.com/epiforecasts/covid19-forecast-hub-europe) of the
[European Forecast Hub GitHub repository](https://github.com/epiforecasts/covid19-forecast-hub-europe), select a model and access the metadata file with further
[`data-processed` folder](https://github.com/european-modelling-hubs/covid19-forecast-hub-europe) of the
[European Forecast Hub GitHub repository](https://github.com/european-modelling-hubs/covid19-forecast-hub-europe), select a model and access the metadata file with further
information provided by the model authors.
2 changes: 1 addition & 1 deletion code/reports/rmdchunks/ranking.Rmd
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Expand Up @@ -48,7 +48,7 @@ if ("n_loc" %in% colnames(df)) {
if ("rel_wis" %in% colnames(df)) {
cat("- The [weighted interval score](https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008618) (WIS) is a [proper scoring rule](https://en.wikipedia.org/wiki/Scoring_rule#Propriety) (i.e., it cannot be \"cheated\") that is suited to scoring forecasts in an interval format. It generalizes the absolute error (i.e. lower values are better) and has three components: dispersion, underprediction and overprediction. Dispersion is a weighted average of the widths of the submitted prediction intervals. Over- and underprediction (overpred/underpred) penalties are added whenever an observation falls outside of a reported central prediction interval, with the strength of the penalty depending on the nominal level of the interval and how far outside of the interval the observation fell. Note that the average WIS can refer to different sets of targets for different models and therefore _cannot always be compared across models_. Such comparisons should be done based on the relative skill. \n")
cat("The Relative WIS (column `rel_wis`) is a relative measure of forecast performance which takes into account that different teams may not cover the exact same set of forecast targets (i.e., weeks and locations). Loosely speaking, a relative WIS of X means that averaged over the targets a given team addressed, its WIS was X times higher/lower than the the performance of the baseline model described in [Cramer et al. (2021)](https://www.medrxiv.org/content/10.1101/2021.02.03.21250974v1). Smaller values are thus better and a value below one means that the model has above average performance. The relative WIS is computed using a 'pairwise comparison tournament' where for each pair of models a mean score ratio is computed based on the set of shared targets. The relative WIS is the geometric mean of these ratios. Details on the computation can be found in [Cramer et al. (2021)](https://www.medrxiv.org/content/10.1101/2021.02.03.21250974v1). \n")
cat("This metric is calculated for all models that provide a [full set](https://github.com/epiforecasts/covid19-forecast-hub-europe/wiki/Forecast-format#quantile) of quantiles.\n")
cat("This metric is calculated for all models that provide a [full set](https://github.com/european-modelling-hubs/covid19-forecast-hub-europe/wiki/Forecast-format#quantile) of quantiles.\n")
}
if ("rel_ae" %in% colnames(df)) {
cat("- The Relative Absolute Error (column `rel_ae`) is the relative absolute error of the predictive point forecasts, that is the predicted value that individual forecasts deem the most likely. The relative AE is computed using a 'pairwise comparison tournament' where for each pair of models a mean score ratio is computed based on the set of shared targets. The relative AE is the geometric mean of these ratios. Details on the computation can be found in [Cramer et al. (2021)](https://www.medrxiv.org/content/10.1101/2021.02.03.21250974v1).\n")
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4 changes: 2 additions & 2 deletions renv.lock
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Expand Up @@ -111,7 +111,7 @@
"Version": "0.0.0.9000",
"Source": "GitHub",
"RemoteType": "github",
"RemoteUsername": "covid19-forecast-hub-europe",
"RemoteUsername": "european-modelling-hubs",
"RemoteRepo": "EuroForecastHub",
"RemoteRef": "main",
"RemoteSha": "404046706b0799a002969644e6e691b564f92fd1",
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"Version": "0.0.0.9000",
"Source": "GitHub",
"RemoteType": "github",
"RemoteUsername": "covid19-forecast-hub-europe",
"RemoteUsername": "european-modelling-hubs",
"RemoteRepo": "HubValidations",
"RemoteRef": "main",
"RemoteSha": "b8759d465e77797fca9989eb4dfd4c5bf640feac",
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2 changes: 1 addition & 1 deletion schema-data.yml
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Expand Up @@ -2,7 +2,7 @@ $schema: "http://json-schema.org/draft-07/schema"
title: ForecastHub model data
description: >
This is the schema of the forecasts files, please refer to
https://github.com/epiforecasts/covid19-forecast-hub-europe/wiki/Forecast-format
https://github.com/european-modelling-hubs/covid19-forecast-hub-europe/wiki/Forecast-format
for more info.
type: object
properties:
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2 changes: 1 addition & 1 deletion schema-metadata.yml
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Expand Up @@ -2,7 +2,7 @@ $schema: "http://json-schema.org/draft-07/schema"
title: ForecastHub model metadata
description: >
This is the schema of the metadata file, please refer to
https://github.com/epiforecasts/covid19-forecast-hub-europe/wiki/Metadata for
https://github.com/european-modelling-hubs/covid19-forecast-hub-europe/wiki/Metadata for
more info.
type: object
properties:
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