JHU_UNC-flepiMoP round 18 results

[saraloo]

Uploading round 18 results. Local validation worked. Combined file size was annoyingly just over 100MB so partitioned.

Note that I copied the code in the instructions on partitioning - but let me know if the partitioning isn't in the right format or anything (eg wasn't sure about the 0 in the end of the parquet file names?).

Second note - we've made the change from JHU_IDD-CovidSP to JHU_UNC-flepiMoP.

[github-actions]

Run validation on files: 2024-04-28/cum death/2024-04-28-JHU_UNC-flepiMoP0.gz.parquet, 2024-04-28/cum hosp/2024-04-28-JHU_UNC-flepiMoP0.gz.parquet, 2024-04-28/inc death/2024-04-28-JHU_UNC-flepiMoP0.gz.parquet, 2024-04-28/inc hosp/2024-04-28-JHU_UNC-flepiMoP0.gz.parquet

Columns:

No errors or warnings found on the column names and numbers

Scenarios:

No errors or warnings found on scenario name and scenario id columns

Origin Date Column:

No errors or warnings found on the column 'origin_date'

Value and Type Columns:

No errors or warnings found on Value and Type columns

Target Columns:

🟡 Warning 602: No value found associated with the targets: inc death (optional), inc hosp (optional), cum death (optional), cum hosp (optional); output_type: quantile, mean.

Locations:

No errors or warnings found on Location

Sample:

No errors or warnings found on Sample

Quantiles:

No errors or warnings found on quantiles values and format

Age Group:

No errors or warnings found on Age_group

[LucieContamin]

Hi @saraloo,

Thanks for your submission, I just have two remarks:

• as it's a new team-model name, I will need to have the associated metadata with it (here the JHU_IDD-CovidSP metadata, if that's help)
• I also wanted to verify that I understand correctly the sample ID numbering: there is no stochasticity, every models runs has a different run_grouping "grouped" by age_group, location, horizon, scenario_id, and target. Is that correct?

Please let me know if any issues or questions,
Best, Lucie

[saraloo]

Thanks Lucie! Attached is the metadata file.
And yes, confirming we are grouped across age_group, location, horizon, scenario and target.

[github-actions]

Run validation on files: 2024-04-28/cum death/2024-04-28-JHU_UNC-flepiMoP0.gz.parquet, 2024-04-28/cum hosp/2024-04-28-JHU_UNC-flepiMoP0.gz.parquet, 2024-04-28/inc death/2024-04-28-JHU_UNC-flepiMoP0.gz.parquet, 2024-04-28/inc hosp/2024-04-28-JHU_UNC-flepiMoP0.gz.parquet

Columns:

No errors or warnings found on the column names and numbers

Scenarios:

No errors or warnings found on scenario name and scenario id columns

Origin Date Column:

No errors or warnings found on the column 'origin_date'

Value and Type Columns:

No errors or warnings found on Value and Type columns

Target Columns:

🟡 Warning 602: No value found associated with the targets: inc death (optional), inc hosp (optional), cum death (optional), cum hosp (optional); output_type: quantile, mean.

Locations:

No errors or warnings found on Location

Sample:

No errors or warnings found on Sample

Quantiles:

No errors or warnings found on quantiles values and format

Age Group:

No errors or warnings found on Age_group