preprocessing#
- radionets.evaluation.utils.preprocessing(conf)[source]#
Makes the necessary preprocessing for the evaluation methods analyzing the whole test dataset.
- Parameters:
- confdictionary
config file containing the settings
- Returns:
- modelarchitecture
model initialized with save file
- model_2architecture
model initialized with save file
- loadertorch.Dataloader
feeds the data batch-wise
- norm_dictdictionary
dict containing the normalization factors
- out_pathPath object
path to the evaluation folder