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### Describe the feature you want to propose or implement
Currently, `ml_m` allows for a classfication learner while `ml_l` does not. What is the rationale behind this choice? It could easily be th…
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I am wondering if the same bounding box would have multiple classification results?
Used 'test" command like that :
![未命名](https://user-images.githubusercontent.com/12018943/58144349-ab1d6800-7c80-1…
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In the docs, it's frequently mentioned in the references
> Supports multi-class resampling. A one-vs.-rest scheme is used when sampling a class as proposed in [1].
So far, every time I read the r…
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### Describe the bug
I get a `ValueError` for `pos_label=1` default argument value to `f1_score` metric with argument `average='micro'` for the iris flower classification problem:
```pytb
Value…
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Excuse me, I have some questions to ask. Can your fcn model predict multiple categories from a single image?
For example, to train a model to recognize dogs and cats, I can manually label a single im…
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In svm_binary_svc_probability() function, random shuffle is applied on the train data before it is used in the 5-fold cross-validation process. The random shuffle is realized by the following codes:
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Hello, I'd like to inquire whether you employed different models for distinct parts when working with the MURA dataset or if a single model was used to predict all parts.
If multiple models were ut…
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When inserting hyperlinks in the text editor on the Edit menu, hyperlinks to other competitions (e.g. https://competitions.codalab.org/competitions/22759) automatically reformat to remove the /competi…
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For binary classification problems, it is good to have a sigmoid postprocessor to map activations to [0 - 1].
This can be part of generic postprocessors.
```
class SigmoidPostProcessor(nc7.model.Mo…