-
The implemented following code snippet for binary classification on tabular data, using stratified K-fold cross-validation (K=10). The performance results seem exceptionally good. Can someone help re…
-
I was wondering how I might adapt it for 2D multi-class classification tasks. please let me know what modifications might be needed?
-
Hello,
I'd like to report two issues regarding classification tasks in modnet:
First, the loss function passed to `ModnetModel().fit()` is overwritten with `"categorical_crossentropy"` if `val_d…
-
I want to ask how to adapt it for 2D multi-class classification tasks. What do I need to modify?
-
Hi,
thanks for the nice package!
I have a remark about the `EnsembleMODNetModel` class: the `predict` method always corresponds to the mean of the predictions of the ensemble:
https://github.…
-
In your paper, as for classification task, you mention the use of the maximum classification predictive label probability as a measure of uncertainty. However, this is not reflected in your GitHub pr…
-
View details in Rollbar: [https://app.rollbar.com/a/jimmy.andrews/fix/item/VariantGrid/5459](https://app.rollbar.com/a/jimmy.andrews/fix/item/VariantGrid/5459)
```
File "/opt/variantgrid/classifica…
-
Hi! First of all great job! I have been trying to do node classification in residue view, using my own node labels. However, I haven't been able to configure the NodePropertyPrediction task to use tho…
-
Choose a dataset of personal interest and implement an SVM model.
Tasks:
- [ ] Select a relevant dataset.
- [ ] Prepare the data for the model.
- [ ] Implement an SVM classification or regressio…
-
### Title
Enhanced Image Understanding with CLIP
### Enhancement Aim
Integrate CLIP into the Computer Vision project to enable sophisticated image-text understanding, enhancing visual recognition a…