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Hello,
I've found that the `stratified_train_val_test_split.csv` file in [zenodo](https://zenodo.org/record/6810792#.ZAsSz9LMI5k) has dupplicated rows. The column `tile` which I assumed to be the i…
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The implemented following code snippet for binary classification on tabular data, using stratified K-fold cross-validation (K=10). The performance results seem exceptionally good. Can someone help re…
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I fixed up some code for similarity splitting and noticed that the splitters don't return all the rnas that they receive as input.
_len(ds) > len(train) + len(val) + len(test)_
This is the case…
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I'm downloading XCL using the following:
```
from birdset.datamodule import DatasetConfig
from birdset.datamodule.birdset_datamodule import BirdSetDataModule
# download a complete xeno canto s…
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Glad you shared such a great job.
I noticed in the code that the number of `split/grasp-anything++/train/seen.obj` is 14516, the number of `split/grasp-anything++/test/seen.obj` is 573, and the num…
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Hello, could you please provide the data split your used (train-val-test) for the datasets in Table 1 of the paper?
Thank you
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**Describe the bug**
`InstanceSplitter` is unable to apply the same index to split `X` and `y` without throwing the following error:
`ValueError: Error in InstanceSplitter.split: InstanceSplitter i…
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Hi @cocoon2wong ,
Thank you very much for making your excellent work and code available!
While testing your code, I discovered that the train-test split for the UNIV scene is different from that…
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Pro: making runs repeatable with the same splits is safer with split up files rather than handling everything with the split files. Also easier to apply trained model to new test data.
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Traceback (most recent call last):
File "D:\pycharm\HSCL-main\src\main.py", line 44, in
train_loader = get_loader(args, train_config, shuffle=True)
File "D:\pycharm\HSCL-main\src\data_load…