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When you attempt to use dxgb.XGBClassifier's predict method, it always generates a prediction of 1 regardless of the `predict_proba` (sigmoid) output. See minimal motivating example below, where I gen…
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Hello! I've run your learning model.
The training and testing processes were very straightforward, making it easy to execute. Thank you for that.
However, I am experiencing some confusion as t…
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I would like to create a notebook on Classification , covering all topics and subtopics related to it. Kindly assign me this issue under GSSoc. Thankyou.
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## 🚀 Feature
Support binary classifier GNNs(output dimension 1, i.e. a single score) in GNNExplainer
## Motivation
GNNExplainer in DGL assumes multi-class classification as the objective of the c…
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This should go into the notebook for GPs.
Something interesting where the predictive certainty is useful. Maybe even with string based data?
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Have anyone managed to make a successful training on a Binary Classification of Grayscale images with TF2?
I did manage to start training, but after 20 epochs, Validation accuracy was close to 0.5 …
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Hi,
I am trying to do binary segmentation on 128x128 images. Padding is done on them to ensure outputed image is also 128x128 (as per your kind suggestion).
The number of classes = 2 (one is backgro…
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### Environment Details
Please indicate the following details about the environment in which you found the bug:
* SDGym version: sdgym-0.7.0
* Python version: 3.9 (probably Any)
* Operating Sy…
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HI and thanks for Great library ;))
I see that it is not ready for tuning on binary or multilabels task without manually add a linear layer on top of model and implement the binary cross entropy …
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Hello Just to get familiar with the CNN I have prepared the code for the binary classification Aircraft (760 images) or non-aircraft (750).
Here is my code
```
Npos = numel(possitive_regions);
…