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https://liamwang666.github.io/2019/11/30/%E8%AE%BA%E6%96%87%E9%98%85%E8%AF%BB%E7%AC%94%E8%AE%B01%E3%80%8AClassification-on-Imbalanced-Data-Sets-Taking-Advantage-of-Errors-to-Improve-Performance%E3%80%…
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Hi all,
I have enjoyed using the python package, but also needed the R package. I noticed that predicted probabilities from the EBM model created with R are too high when the dataset is imbalanced…
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https://help.openai.com/en/articles/5247780-using-logit-bias-to-define-token-probability
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### Describe the issue linked to the documentation
Hi guys,
In the "ROC curve using micro-averaged OvR" part of the doc (https://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html#r…
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Regarding your question about the library source code, you don't need to provide its source code. However, you need to explain in the report what the library is been used for. And the reason for using…
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Hi,
I'm working on a multiple-class detection with imbalanced training data, in fact, the distribution of images in each class is different. I checked that the focal loss function is defined in yolo…
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Very minor but I believe `torch.utils.data.dataset.Subset` might better be named `Resample` (or something similar), since it's possible to use for oversampling via duplicated indices. This is a commo…
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- [ ] Put test data in data_raw folder please
- [ ] It seems the for loop is for 100 permutations irrespective of the function argument. Is this a mistake?
- [ ] I am not sure what the dataset input…
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# syslog-ng
## Version of syslog-ng
3.25 (PE 7.0.19)
## Platform
CentOS
## Debug bundle
N/A
# Issue
When trying to configure a rewrite rule with a combination of the list-nth and list-se…
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#### Learning Goals
1. Learning different techniques that one needs to adapt if there is an imbalance in the dataset.
### Exercise Statement
1. Different Resampling techniques to handle the datas…