Neural network models for image-to-image flux map corrections
In this revision, the authors would like to share the training function utilized for splitting the dataset by days, trying to avoid that some specific operational/meteorological conditions are not included in the training dataset because of random splitting. The specific function utilized for Sim2Real inference has been included, considering the additional performance metrics required for this step.
Resource information
- Format
- py
- Original repository
- 21804711
- DOI
- 10.5281/zenodo.21804711
- Credit basis
- Creators in Zenodo record metadata
- Access
- Open files available from the original Zenodo deposit
- Last checked
- Nov 5, 2026
- License
- cc-by-4.0
- Last record update
- Nov 5, 2026
About this resource
In this revision, the authors would like to share the training function utilized for splitting the dataset by days, trying to avoid that some specific operational/meteorological conditions are not included in the training dataset because of random splitting. The specific function utilized for Sim2Real inference has been included, considering the additional performance metrics required for this step.