Make all Datasets Running with All Models and Evaluate All

[zenzeii]

User story

1. As a developer
2. I want have an overview of all results from all dataset with all models
3. So that I can understand which model is best for what kind of dataset

Acceptance criteria

• All dataset has been applied to all models (trained, forecasted).
• The splits (into training, test, validation) are all the same for one dataset.
• The model configuration are the same for one model.
• All results are documented

Definition of done (DoD)

• Acceptance criteria are met.
• Work are pushed to the Github repository.
• Create a branch for each backlog items (coding)
• A pull request is created for each related branch.
• The work products in the pull requests are reviewed.
• The corresponding branches are merged and closed.
• The bill of materials section of the planning documents is updated.
• The software architecture should be updated based on features changes.
• Work needs to be documented in the corresponding wiki section
• For new features unit test have to be written.
• Update our forked repository with the latest RTDIP release.
• All unit tests must pass successfully in the CI pipeline.
• If the task involves coding, the implementation is integrated into the RTDIP framework and verified to function correctly within it.

DoD general criteria

• Feature has been fully implemented
• Feature has been merged into the mainline
• All acceptance criteria were met
• Product owner approved features
• All tests are passing
• Developers agreed to release