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Hi
Is there any plan to add more multi-label classifiers other than [OneVsRestClassifier](http://scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsRestClassifier.html#sklearn.multicla…
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Hi, @jeremykawahara, @hamarneh!
Can you explain how we calculate AUCROC for diagnosis? AUCROC is for binary classification, how can we interpret this for multi-class classification (because 1 diagn…
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运行inference.py时是不是必须确保用于生成检查点的模型架构与尝试加载检查点的模型架构完全相同。如果修改了网络来训练后的模型，运行inference.py检测会报错：Traceback (most recent call last):
File "E:\Multi-label-Sewer-Classification-main\inference.py", line 187, in …
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Hi,
I was wondering if the semantic search would improve if one would train a multilabel-classification model and use those embeddings?
After training a binary classification model I have seen t…
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Hi,
What is the dataset format expected for multi-label classification?
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When setting the activation function and loss function for RnnOutputLayer, I'm using sigmoid and LossBinaryXENT since the class is binary. However, weka doesn;t seem to read the options properly. I tr…
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We need to create:
- [x] A separate file to test binary relevance model ( https://en.wikipedia.org/wiki/Multi-label_classification )
- [x] Bayes classification
- [x] SVM classification
- [x] Lin…
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### Describe the issue
**Issue 1**: Converted an xgboost `binary:logistic` model into ONNX, and inference with ONNXRuntime session gives a warning message:
```
Original XGBoost Model (load from…
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In the case of a single label, the logic to calculate the classification probability with the `ZeroShotClassificationExplainer` (see [here](https://github.com/cdpierse/transformers-interpret/blob/v0.6…
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Hi,
I am using it for a multi-task model.
I am using a customized alexnet for a multi-task model for aesthetics prediction and classification. I have a normalized score ( 0 to 1 ) for aesthetics pred…