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Everything seems to work nicely. However if I remove --model_type I got an error on omic sizes:
****** Normalizing Data ******
training: 164, validation: 33
Genomic Dimension 10
Training Fold 0!
Init train/val/test splits...
Done!
Training on 164 samples
Validating on 33 samples
Init loss function... Done!
Init Model... Traceback (most recent call last):
File "main.py", line 258, in <module>
results = main(args)
File "main.py", line 76, in main
val_latest, cindex_latest = train(datasets, i, args)
File "/home/joan/PORPOISE/utils/core_utils.py", line 169, in train
model_dict = {'fusion': args.fusion, 'omic_sizes': args.omic_sizes, 'n_classes': args.n_classes}
AttributeError: 'Namespace' object has no attribute 'omic_sizes'
I am not really getting why this is throwing an error. I see that mcat (default) uses this variable. I also got the error if I tried --mode coattn which also uses it. Is there anything related with the input data that I am missing? Thanks
The text was updated successfully, but these errors were encountered:
Thanks for the great tool. I am getting problems for running the different version of the model. If I do:
python main.py --which_splits 5foldcv --split_dir SCLC --mode pathomic --reg_type pathomic --model_type porpoise_mmf --data_root_dir /Path/to/Extract_features/ --fusion bilinear --max_epochs 50
Everything seems to work nicely. However if I remove
--model_type
I got an error on omic sizes:I am not really getting why this is throwing an error. I see that
mcat
(default) uses this variable. I also got the error if I tried--mode coattn
which also uses it. Is there anything related with the input data that I am missing? ThanksThe text was updated successfully, but these errors were encountered: