- Deleted the entire evaluation_age_time_dependent.py file which contained functions for evaluating age-dependent metrics, including various statistical calculations and data aggregation methods.
- Removed utils.py file that provided utility functions for sampling context in fixed age bins and multi-hot encoding for disease occurrences.
- Introduced `evaluate.py` for time-dependent evaluation of models, including data loading and model inference.
- Added `evaluation_time_dependent.py` to compute various evaluation metrics such as AUC, average precision, and precision/recall at specified thresholds.
- Implemented CIF calculation methods in `losses.py` for different loss types, including exponential and piecewise exponential models.
- Created utility functions in `utils.py` for context selection and multi-hot encoding of events within specified horizons.
