@@ -48,4 +48,10 @@ fb64d687f0852fe4f7f53d4f. These two files have to be placed inside of the previo
### Developer Container
The SPA should be run in a Developer Container using the Visual Studio Code Dev Containers extension. This allows for a fully-featured development environment within
a Docker container. To set this up, ensure that Visual Studio Code, Docker, and the Dev Containers extension are installed. Open the project in Visual Studio Code, press Ctrl+Shift+P, and select ”Dev Containers: Open Folder in Container.” This will start the process, installing all necessary dependencies. If any issues arise, refer to: https://code.visualstudio.com/docs/devcontainers/containers
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a Docker container. To set this up, ensure that Visual Studio Code, Docker, and the Dev Containers extension are installed. Open the project in Visual Studio Code, press Ctrl+Shift+P, and select ”Dev Containers: Open Folder in Container.” This will start the process, installing all necessary dependencies. If any issues arise, refer to: https://code.visualstudio.com/docs/devcontainers/containers
### Executing the Experiments
To execute the SPA experiments, follow these steps:
1. Define the user parameters and run `module1.py`.
2. Once `module1.py` completes, proceed to `module2.py`, adjust the parameters as needed, and execute the file.
3. After `module2.py` has trained all models, select the desired model using the accuracy table in `1_evaluation.csv`. Then, proceed to `module3.py` and adjust the parameters as desired.