-
# Adding an interpretability module to ZairaChem
## Background
This project is related to @HellenNamulinda's MSc thesis at Makerere University. The thesis is co-supervised by [Dr. Joyce Nakatumba-Nab…
-
### Search before asking
- [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) and f…
-
- Flood Susceptibility Mapping (FSM) involves identifying areas prone to flooding to mitigate future floods and assess susceptibility.
- Floods are among the most destructive natural disasters, causi…
-
Hello,
I have a doubt regarding the use of SHAP for an ensemble model.
I trained a model on 10-fold cross-validation and I am using the stack of trained models as an ensemble for my target. I …
-
Health insurance prediction models play a crucial role in assessing risk, setting premiums, and ensuring adequate coverage for policyholders. However, existing models may face challenges in achieving …
-
## Detailed Description
The current solar forecasting model is a gradient boosted tree model, which can achieve high predictive accuracy but often lacks interpretability. It is proposed to eval…
-
Any plans to implement model interpretability for Mask-RCNN architectures ?
-
I started looking into whether the small models could be a target for interpretability. I'm just putting it out here in lack of a better space to find people wanting to help.
Here is a list of seem…
-
Traceback (most recent call last):
File "D:/Download files/wenxiandaima/FCN/code/figure/interpretability_TaNet_analysis.py", line 207, in
model=keras.models.load_model(r"..\..\model\interpret…
-
For H2O-3, this code snippet may be helpful. For a specific row in the dataset it creates a table which has the results of trying different values for the users and looking at how the prediction chang…