Comments (2)
ardieorden
commented on June 8, 2024
Hi @GIS243 !
For model training, we had the following hardware requirements: 16 vCPUs and 60 GB of memory (n1-standard-16) and an NVIDIA Tesla P100 GPU.
For non-model training, the hardware requirements can probably be brought down to 4 vCPUs and 16GB of memory and no GPU.
The software requirements can be seen in requirements.txt.
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GIS243
commented on June 8, 2024
@ardieorden Thanks
You can close this issue
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Related Issues (17)
- Add project scaffold
- Update README
- Add instructions and scripts for downloading and pre-processing DHS dataset HOT 3
- Add nighttime lights data, feature embeddings (csv format) to data directory HOT 9
- Add Philippine shapefile to data directory
- Fix nested cross validation script
- Issue on 02_lights_eda.ipynb HOT 2
- Regarding 03_lights_model HOT 1
- Transformation of VIIRS DNB data to .csv file ('nightlights.csv') HOT 17
- Pop_sum and spatial join for nightlights.csv HOT 3
- PHHR70DT/PHHR70FL.DTA no longner exists HOT 1
- boundaries CSV files HOT 4
- 00_dhs_prep.ipynb Code error HOT 3
- dhs csv data HOT 2
- Best Model HOT 2
- dhs_regions HOT 6
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