utils

Utility functions and modules for OpenSTEF model implementations.

Provides supporting utilities for model training, evaluation, and optimization. Currently includes specialized loss functions for quantile regression with XGBoost.

Submodules

data_split	Time series dataset splitting utilities for training and evaluation.
evaluation_functions	Utility functions for evaluation metrics in forecasting models.
feature_selection	Feature selection utilities for transforms.
loss_functions	Loss functions for quantile regression with XGBoost.
multi_quantile_regressor	Adaptor for multi-quantile regression using a base quantile regressor.
xgboost	XGBoost-specific utility helpers.