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## 0. 論文
### タイトル
Max-margin Class Imbalanced Learning with Gaussian Affinity
### リンク
https://arxiv.org/abs/1901.07711
### 著者
Munawar Hayat, Salman Khan, Waqas Zamir, Jianbing Shen, Ling Shao
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### Question
Hi,
I use yolov5x with this setting (train: 70%, val: 10%, test: 20%)
```
train: images/train # train images (relative to 'path') 128 images
val: images/val # val images (relativ…
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Hi,
I have run your code for 10 epochs on the train medmnist script. But when i try to run evaluate i get:
ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 255..
File "/…
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I am trying to use a custom Resampler class to make drawing over 10M data points more efficient. It works nicely except for the fact it is drawing 2 lines per Resampler. Looks like a bug.
```…
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Hello,
I have a question regarding Supplementary Table 2, which presents AUROC metrics. In your code, AUROC is implemented using sklearn.metrics.roc_auc_score. I noticed that when all predictions are…
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I have a highly skewed dataset. I was hoping that Tpot will make use of parameters like `class_weight` (in logistic regression) and `scale_pos_weight` (Xgboost) but it doesn't recognize the class dist…
Ak784 updated
3 years ago
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I'm working on a text classification problem similar to the sentiment_imdb problem, with 4 classes. My training set is highly imbalanced and I'd like to use balanced class weights for training. What's…
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As mentioned on [topepo.github.io](https://topepo.github.io/caret/using-your-own-model-in-train.html#illustrative-example-5-optimizing-probability-thresholds-for-class-imbalances), own models can be s…
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Imbalanced datasets, where the classes have very different occurrence rates, can show up in large data sets.
There are many strategies for dealing with imbalanced data. http://contrib.scikit-learn.…
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[Focal loss ](https://www.tensorflow.org/addons/api_docs/python/tfa/losses/SigmoidFocalCrossEntropy) may be useful to our classification use case, where there is a significant imbalance between classe…