| calc_performance_metrics | Calculates performance metrics of a business-as-usual model |
| calc_summary_statistics | Calculates summary statistics for predictions and true values |
| clean_data | Clean and Optionally Aggregate Environmental Data |
| copy_default_params | Copy Default Parameters File |
| detrend | Removes trend from data |
| estimate_effect_size | Estimates size of the external effect |
| get_meteo_available | Get Available Meteorological Components |
| load_params | Load Parameters from YAML File |
| load_uba_data_from_dir | Load UBA Data from Directory |
| mock_env_data | Mock Environmental Data |
| plot_counterfactual | Prepare Plot Data and Plot Counterfactuals |
| plot_station_measurements | Descriptive plot of daily time series data |
| prepare_data_for_modelling | Prepare Data for Training a model |
| rescale_predictions | Rescale predictions to original scale. |
| retrend_predictions | Restors the trend in the prediction |
| run_counterfactual | Full counterfactual simulation run |
| run_dynamic_regression | Run the dynamic regression model |
| run_fnn | Train a Feedforward Neural Network (FNN) in a Counterfactual Scenario. |
| run_lightgbm | Run gradient boosting model with lightgbm |
| run_rf | Run random forest model with ranger |
| sample_data_DESN025 | Environmental Data for Modelling from station DESN025 in Leipzig-Mitte. |
| scale_data | Standardize Training and Application Data |
| split_data_counterfactual | Split Data into Training and Application Datasets |