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### Brief
@archersama
In the file `IntTower/train_amazon_inttower.py` in line 141 the user history is calculated but the feature is never used for making prediction why?
### Current Behavior
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## LLMs, Machine Learning and Data Leakage Prevention
LLMs appear to be very capable (with caveats, no doubt) at detecting anomalous text, data and information used in some given context. A couple …
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@ZwormZ
Hi,
This is an update of our new experiment regarding the data leakage of the PubChem324k dataset. I chose to inform you in a new GitHub issue because I do not have your Email address.
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Data Leakage when normalize the train data and test data together?
```
dataset = pd.read_csv('Finaldata_with_Fourier.csv', parse_dates=['Date'])
...
y_value = pd.DataFrame(dataset.iloc[:, 3])
y…
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I am wondering if we can do a second round of quality on the data processing part to make sure that there is no data leakage.
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We should find a way to securely store secrets that users insert to avoid data leakage as a consequence of a possible compromise
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Hi,
Thanks for your work! I have two questions.
1. It's the same as #6 For the same test data, if the batch size is different, different test miou accuracies will be obtained.
I noticed that you…
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Task 1295 is a training task issued from the AdversarialQA dataset and Task 1640 is a testing task also issued from AdversarialQA.
I would assume that this wasn't caught by automated checks because t…
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Hi @yuxumin,
First of all, thank you very much for this excellent piece of research!
While going through the code, I had a question concerning the way you normalize the ShapeNet data: it seems l…