CodeForPhilly / CodeForPhilly/chime
["model"] Results from running files (models, __init__, parameters, constants, base, validators) from develop branch in notebook differ from CHIME web app census csv download
- Lenguaje dominante
- Python
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Descripción
### Summary
I work for a data science team at a health system, we have limited knowledge/prior experience running docker containers etc so we downloaded (via urllib.request) the files in the src/pnn_chime folder to run locally and output csvs for patient census in each one of our regions our health system covers. code is in attached notebook. fyi, was having problems getting the relative imports to run so I regexed them out so the file could be run by exec().
The output from doing this direct file download and running is different than the output from the CHIME web app even though the same files should be running in both examples
### Additional details
ex row of region data:
Pop | current_hosp | date first hosp | doubling_time | initial_infections | hosp_rate | icu_rate | vent_rate | hosp_los | icu_los | vent_los | market_share
-- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | --
604227 | 14 | 3-18-2020 | 7 | 61 | 0.025 | 0.01 | 0.0075 | 7 | 9 | 10 | 0.233
output for that region
[2020-04-05_projected_census.xlsx](https://github.com/CodeForPhilly/chime/files/4435710/2020-04-05_projected_census.xlsx)
python notebook file as text file:
[automated_notebook_to_text.txt](https://github.com/CodeForPhilly/chime/files/4435713/automated_notebook_to_text.txt)
### Suggested fix
unknown
Guía de contribución
Línea de trabajo
Start with the attached automated_notebook_to_text.txt and the files under src/pnn_chime, including models, __init__, parameters, constants, base, and validators. Reproduce the local execution and compare its projected census CSV or XLSX with the CHIME web app download for the provided region; done means the discrepancy is explained and a suggested fix is identified.
Escrito por el modelo de indexación a partir del texto del issue.
Evaluación
- Stack tecnológico
- python
- Área
- data
- Tipo de issue
- Error
- Dificultad
- 4/5
- Tiempo estimado
- 3-5 días
- Estado de actividad
- Estancado
- Claridad
- Necesita aclaración
- Aptitud para principiantes
- 20/100