RemixAutoML (version 0.5.0)

FinalBuildArima: FinalBuildArima

Description

FinalBuildArima to generate forecasts and ensemble data

Usage

FinalBuildArima(
  SavePath = NULL,
  ModelOutputGrid = NULL,
  TimeSeriesPrepareOutput = NULL,
  FCPeriods = 1,
  MetricSelection = "MAE",
  NumberModelsScore = 1,
  ByDataType = FALSE,
  DebugMode = FALSE
)

Arguments

SavePath

Supply a path to save the model object and xregs if those were utilized

ModelOutputGrid

Pass along the grid output from ParallelOptimzeArima()

TimeSeriesPrepareOutput

Output from TimeSeriesPrepare()

FCPeriods

The number of periods ahead to forecast

MetricSelection

The value returned from TimeSeriesPrepare()

NumberModelsScore

The value returned from TimeSeriesPrepare()

ByDataType

Set to TRUE if you want to have models represented from all data sets utilized in training

DebugMode

Debugging

Value

Time series data sets to pass onto auto modeling functions

See Also

Other Time Series Helper: FinalBuildArfima(), FinalBuildETS(), FinalBuildNNET(), FinalBuildTBATS(), FinalBuildTSLM(), GenerateParameterGrids(), OptimizeArfima(), OptimizeArima(), OptimizeETS(), OptimizeNNET(), OptimizeTBATS(), OptimizeTSLM(), ParallelAutoARIMA(), ParallelAutoArfima(), ParallelAutoETS(), ParallelAutoNNET(), ParallelAutoTBATS(), ParallelAutoTSLM(), PredictArima(), RL_Performance(), Regular_Performance(), StackedTimeSeriesEnsembleForecast(), TimeSeriesDataPrepare(), WideTimeSeriesEnsembleForecast()

Examples

# NOT RUN {
FinalBuildArima(
  SavePath = NULL,
  Output = NULL,
  TimeSeriesPrepareOutput = NULL,
  MaxFourierTerms = 0,
  TrainValidateShare = c(0.50,0.50),
  MaxNumberModels = 5,
  MaxRunMinutes = 5,
  ByDataType = FALSE,
  DebugMode = TRUE)
# }