Learning improvements / testing.

[GernotMaier]

No description provided.

[Copilot]

Pull request overview

This pull request implements residual learning for stereo reconstruction models and adds training evaluation capabilities. The core change shifts from predicting absolute direction/energy values to predicting residuals relative to DispBDT baseline predictions. This approach allows the XGBoost model to learn corrections to an existing baseline method rather than learning from scratch.

Changes:

• Implements residual learning architecture: models now predict corrections to DispBDT predictions rather than absolute values
• Adds target standardization during training to balance the contribution of direction (Xoff, Yoff) and energy features in multi-target learning
• Adds plot_training_evaluation.py script to visualize training curves and assess model convergence
• Updates hyperparameters: reduces learning rate, increases n_estimators, adds regularization, enables early stopping
• Filters training data to remove events with invalid energy reconstruction (ErecS <= 0)

Reviewed changes

Copilot reviewed 10 out of 10 changed files in this pull request and generated 10 comments.

Show a summary per file

File	Description
src/eventdisplay_ml/scripts/train_xgb_stereo.py	Updated docstring to explain residual learning approach
src/eventdisplay_ml/scripts/plot_training_evaluation.py	New script to plot training/validation curves from saved models
src/eventdisplay_ml/models.py	Implements residual learning, target standardization, inverse transformation in inference, adds eval_set to regression training, removes eval_set from classification training
src/eventdisplay_ml/hyper_parameters.py	Updates hyperparameters for better regularization and early stopping
src/eventdisplay_ml/features.py	Changes targets from absolute values to residuals
src/eventdisplay_ml/evaluate.py	Updates evaluation to work with residual predictions and reconstruct absolute values
src/eventdisplay_ml/data_processing.py	Adds residual computation logic, filters invalid energy events
pyproject.toml	Adds new script entry point for training evaluation plotting
docs/changes/53.feature.md	Documents the new features
.github/copilot-instructions.md	Updates documentation to reflect residual learning architecture

[Copilot]

Pull request overview

Copilot reviewed 11 out of 11 changed files in this pull request and generated 3 comments.