wilds
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p-lambda
A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
I am not able to run Camelyon17 with `--split_scheme in-dist` (I'm assuming this corresponds to the setting with ID val data). Any pointers on how to run this, or in...
Hey, I'm running Wilds on a `p2.8xlarge` AWS EC2 instance with 8 K80 GPUs. I noticed that when I try to run `run_expt.py` and use the `--device` argument to divide...
Hello, I downloaded the dataset, iWildCAM, following the description in the github, and confirmed that it successfully downloaded. After this, I have been trying to run the example script to...
Hi, In the train_mixup(train_loader, epoch, agg) function, for ith sample of a batch, I got image id= 5863, domain = 13 with wealth_pooled= -0.8209. Upon looking into the dhs_meta.csv file,...
## Summary This update modifies the WILDSSubset class to support flexible return types from its `__getitem__` method, accommodating both standard and custom dataset requirements. The enhancement allows for varied data...
In ogbmolpcba_dataset.py line 96 (and similarly 98), a PyGCollater object is initialized without passing a required positional argument (dataset) which raises an error when calling the get_dataset function for the...
Hello, If I directly run this command suggested in the README: `python examples/run_expt.py --dataset fmow --algorithm DANN --unlabeled_split test_unlabeled --root_dir data ` I get the following exeption: ``` Traceback (most...
The WILDS [paper](https://arxiv.org/pdf/2012.07421.pdf) claims to normalize and augment samples from the Poverty dataset in training. But this official repo and this [non-official one](https://github.com/huaxiuyao/C-Mixup/blob/main/PovertyMap/models/poverty.py) do not apply any transformation. What is...
Training waterbirds dataset out-of-the-box gives 0 worst group accuracy. Digging deeper, I noticed that all the predictions immediately become the 0 label. Any advice would be helpful. Thanks in advance.
I'm getting an error when initializing the "fmow" dataset. I got the following error for the conversion of the timestamp to datetime with Pandas: ValueError: time data "2011-02-07T02:48:56.643Z" doesn't match...
