`rf_forecast.Rd`

Given the prediction results of random forest calculate point forecast, 95% confidence intervals, forecast-accuracy for the test set

rf_forecast( predictions, tslist, database, function_name, h, accuracy, holdout = TRUE )

predictions | prediction results obtained from random forest classifier |
---|---|

tslist | list of new time series |

database | whethe the time series is from mcom or other |

function_name | specify the name of the accuracy function (for eg., cal_MASE, etc.) to calculate accuracy measure, ( if a user written function the arguments for the accuracy function should be training period, test period and forecast). |

h | length of the forecast horizon |

accuracy | if true a accuaracy measure will be calculated |

holdout | if holdout=TRUE take a holdout sample from your data to caldulate forecast accuracy measure, if FALSE all of the data will be used for forecasting. Default is TRUE |

a list containing, point forecast, confidence interval, accuracy measure