- Report file is named "SHAP Report.pdf".
- Results o LIME in Step 1 is in Report.
- Summary and explaination of SHAP is in Report.
- Implementation of SHAP in also in Report.
- Source code of LIME is from https://github.com/aildnont/covid-cxr which is forked by me.
My experiment parameters:
- Model: dcnn_resnet
- Epoch: 50
- LIME example images number: 3
- Key Requirements:
- Tensorflow 2.0.1 (Raises problem and I mentioned it in Report)
- Keras 2.3.1
- Source code of implement SHAP is in shap_inf.py. You can read it if you are interested in implementing process.
- Attention: If you want to reimplement of my results, pleas change config.yml accordingly.
- For dataset please refer to this repo https://github.com/aildnont/covid-cxr.
- If you have any question, fee free to contact me.
forked from aildnont/covid-cxr
-
Notifications
You must be signed in to change notification settings - Fork 0
AI-Project-5
License
EgoistEloim/covid-cxr
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
AI-Project-5
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published
Languages
- Python 77.5%
- Jupyter Notebook 22.5%