You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Replace the classes currently used for data loading (DataLoader, DataProcessor, and ImageMapper) with the updated version in the DL1DataHandler package. This package was designed to fix the problems noted in and so resolve #82. It also fixes #46 and closes #73 as no longer needed. This issue involves the follow steps:
Remove data_loading.py, data_processor.py, image_mapping.py, and pixel_pos_files, which have been superseded by DL1DH.
Remove all scripts and notebooks that exclusively use or are designed to test these modules and create issues in the DL1DH repository to recreate them there as needed.
Update run_model.py to use DL1DataReader instead of DataLoader and DataProcessor to load and process the data, specifically using the new DL1DataReader.example_description to more cleanly define the input_fn (Define API for accessing DataLoader class attributes #46).
Update run_model.py to use the capability of DL1DataReader to load any telescope and event info to:
Load arbitrary auxiliary info,
Define and calculate the loss for multiple labels, and
Simplify making predictions by returning the true label and event ids within the predictions dictionary
Update the configuration arguments where needed to match the DL1DH API.
Update to reflect these changes:
README.md
example_config.yml
MANIFEST.in
Do a benchmark run to confirm that the changes do not affect speed and performance.
The text was updated successfully, but these errors were encountered:
Replace the classes currently used for data loading (DataLoader, DataProcessor, and ImageMapper) with the updated version in the DL1DataHandler package. This package was designed to fix the problems noted in and so resolve #82. It also fixes #46 and closes #73 as no longer needed. This issue involves the follow steps:
Define and calculate the loss for multiple labels, andThe text was updated successfully, but these errors were encountered: