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Submitting DTW+S Ensemble #25
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Add a temporary file to create the folder structure.
2025-08-10-LEMMA-EnsembleDTWS.gz.parquet seems to be an Ensemble file - validation not run |
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Good morning,
Thanks for your submission, I ran the validation locally and got an error message (feel free to ignore the col_types
warning), please see below. Would it be possible to fix it, please.
Also, I cannot accept the submission without a metadata file, would it be possible to add one, please?
Please let me know if any issues or questions,
Best,
Lucie
Run validation on files: 2025-08-10-LEMMA-EnsembleDTWS.gz.parquet
✅: [valid_round_id_col]: round_id_col
name is valid.
✅: [unique_round_id]: round_id
column "origin_date" contains a single, unique round ID value.
✅: [match_round_id]: All round_id_col
"origin_date" values match submission round_id
from file name.
✅: [colnames]: Column names are consistent with expected round task IDs and std column names.
❗: [col_types]: Column data types do not match hub schema.
output_type_id
should be "character" not "double".
❌: [valid_vals]: tbl
contains invalid values/value combinations.
For example: Column horizon
contains invalid
values "44" and "45".
Added metadata for the LEMMA EnsembleDTWS model, including team information, model details, contributors, and methods.
Model Metadata--- LEMMA-EnsembleDTWS.yaml --- ✅: [metadata_schema_exists]: File exists at path 'hub-config/model-metadata-schema.json'. ✅: [metadata_file_exists]: File exists at path 'model-metadata/LEMMA-EnsembleDTWS.yaml'. ✅: [metadata_file_ext]: Metadata file extension is "yml" or "yaml". ✅: [metadata_file_location]: Metadata file directory name matches "model-metadata". ✅: [metadata_matches_schema]: Metadata file contents are consistent with schema specifications. ✅: [metadata_file_name]: Metadata file name matches the |
2025-08-10-LEMMA-EnsembleDTWS.gz.parquet seems to be an Ensemble file - validation not run |
Please find here the validation, please confirm the Thanks, Run validation on files: 2025-08-10-LEMMA-EnsembleDTWS.gz.parquet ✅: [valid_round_id_col]: ✅: [unique_round_id]: ✅: [match_round_id]: All ✅: [colnames]: Column names are consistent with expected round task IDs and std column names. ❗: [col_types]: Column data types do not match hub schema. ✅: [rows_unique]: All combinations of task ID column/ ✅: [req_vals]: Task ID/output type/output_type_id combinations all present. ✅: [value_col_valid]: Values in column ✅: [value_col_non_desc]: Quantile or cdf ℹ: [spl_compound_taskid_set]: No v3 samples found in model output data to check. Skipping |
Yes. Thanks. |
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