combine_forecasts |
Combine multiple horizon-specific forecast models to produce one forecast |
create_lagged_df |
Create model training and forecasting datasets with lagged, grouped, dynamic, and static features |
create_skeleton |
Remove the features from a lagged training dataset to reduce memory consumption |
create_windows |
Create time-contiguous validation datasets for model evaluation |
data_buoy |
NOAA buoy weather data |
data_buoy_gaps |
NOAA buoy weather data |
data_seatbelts |
Road Casualties in Great Britain 1969-84 |
fill_gaps |
Prepare a dataset for modeling by filling in temporal gaps in data collection |
plot.forecastML |
Plot an object of class 'forecastML' |
plot.forecast_error |
Plot forecast error |
plot.forecast_model_hyper |
Plot hyperparameters |
plot.forecast_results |
Plot an object of class forecast_results |
plot.lagged_df |
Plot datasets with lagged features |
plot.training_results |
Plot an object of class training_results |
plot.validation_error |
Plot validation dataset forecast error |
plot.windows |
Plot validation datasets |
predict.forecast_model |
Predict on validation datasets or forecast |
return_error |
Compute forecast error |
return_hyper |
Return model hyperparameters across validation datasets |
summary.lagged_df |
Return a summary of a lagged_df object |
train_model |
Train a model across horizons and validation datasets |