Man pages for vidarsumo/sumots
Helper functions for Sumo Analytics
| accuracy_by_id | Find best model per id and create forecast out of sample |
| best_weighted_average | Find best weights for each model in an ensemble |
| create_covid | Creates dummy variable for Covid |
| create_holiday | Creates holiday variables to be used in modeling |
| data_prep_func | Prepares data for modeling |
| data_prep_single_ts | A function to prepare a single time series for forecasting... |
| finalize_deepar | Function to select best DeepAR based on chosen metric |
| finalize_nbeats | Function to select best N-BEATS based on chosen metric |
| get_gmm_clusters | Function to create clusters using time series features and... |
| isl_holidays | Holidays and other events in Iceland |
| ml_models_wflw | A function to train simple univariate algorithms |
| ml_tune | Function to tune ML algos for multiple time series... |
| prepare_energy_data | Prepares data for energy forecasting |
| stack_ml_models | Creates super-learner by stacking differnt ML models |
| sumo_forecast_per_id | Assign a different model to each time series |
| train_simple_models | A function to train simple univariate algorithms |
| tune_deepar | Function to tune DeepAR |
| tune_nbeats | Function to tune N-BEATS |
| wflw_creator | A helper function to create workflow passed to the ml_tune()... |
