RemixAutoML (version 0.4.2)

RL_Performance: ARIMA_Performance creates and stores model results in Experiment Grid

Description

ARIMA_Performance creates and stores model results in Experiment Grid

Usage

RL_Performance(
  Results = Results,
  NextGrid = NextGrid,
  TrainValidateShare = c(0.5, 0.5),
  MaxFourierTerms = NULL,
  XREGFC = XREGFC,
  ExperimentGrid = ExperimentGrid,
  run = run,
  train = train,
  ValidationData = ValidationData,
  HoldOutPeriods = HoldOutPeriods,
  FinalScore = FALSE
)

Arguments

Results

This is a time series model

NextGrid

Bandit grid

TrainValidateShare

The values used to blend training and validation performance

MaxFourierTerms

Numeric value

XREGFC

Fourier terms for forecasting

ExperimentGrid

The results collection table

run

Iterator

train

Data set

ValidationData

Data set

HoldOutPeriods

Passthrough

FinalScore

FALSE

See Also

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