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I am trying to write a custom loss function for multiclass applications and I started by replicating the 'multiclassova' objective
```
def custom_classification_loss(y_true, raw_pred):
# Resh…
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### Issue Description
Error estimating `shap_values.cohorts(2)` in a multiclass model
### Minimal Reproducible Example
```python
import matplotlib.pyplot as plt
from sklearn.datasets impor…
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### Reason/inspiration (optional)
"We would like a new entry on the `Multiclass Classification` concept under Sklearn. The entry should go in a new file under `docs/content/sklearn/concepts/multiclas…
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### Summary
Both segmentation and object detection require that the background be included and there is currently a note on these args: `num_classes: Number of prediction classes (including the backg…
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Hey @abhisek247767,
Identifying gastrointestinal conditions from medical images is crucial for accurate diagnosis and treatment planning. However, distinguishing between various conditions such as …
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Hi Team,
I see that there is one demo prepared for the multiclass classification of Iris dataset. I was trying to do the same, and added the option of ` .set_multi_class(True) `in the WitConfigBuil…
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Thank you for making this tool! I am running into an issue when I run `python main.py --task classification`:
```
/Users/gianmarcoterrones/opt/anaconda3/envs/cgcnn/lib/python3.11/site-packages/pym…
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We can currently handle binary classification through `GPMC` and the `BernLik` likelihood. It would be good to extend this functionality to the multiclass setting.
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Where we handled the Multiclass classification case?
I can see only binary classification handling and regression handling.
```
def print_stats(df):
print('PERFORMANCE:\n')
print("df.lab…
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for example 1 vs all for auc and roc calculations