** PLEASE NOTE ** : This milestone might be subject to changes.

The primary goal for this milestone is to provide an example workflow with the the following modules:

1. Data Parsers
2. Data Preparations
3. Models
4. Trainers
5. Analyses

The example workflow should be written such that:

• It is intuitive and easy to use by anyone outside of this project
• Every module has a dedicated unit-test
• Follow PEP* (https://realpython.com/python-pep8/) convention

The following constraints apply to the example workflow (and any other workflow) written:

• Configurations are managed via Pythons hydra: https://hydra.cc/docs/intro/
• The backbone (for now) is keras 3: https://keras.io/keras_3/
• Every module has an underlying core class, e.g. model core, analysis core, etc.

This milestone is considered completed, if:

• All the issues are closed
• An example workflow is submitted via pull request

It is important to notice that whatever comes out of this milestone is not the final answer, i.e. there will be a few iterations (hopefully not too many) where parts may change (e.g. functions, core classes, etc.). But we do need a full example workflow first, in order to properly assess what functionality is need and / or reasonable