RemixAutoML (version 0.4.6)

ParallelAutoTBATS: ParallelAutoTBATS

Description

ParallelAutoTBATS to run the 4 data sets at once

Usage

ParallelAutoTBATS(
  Output,
  MetricSelection = "MAE",
  TrainValidateShare = c(0.5, 0.5),
  NumCores = max(1L, min(4L, parallel::detectCores() - 2L))
)

Arguments

Output

The output returned from TimeSeriesDataPrepare()

MetricSelection

Choose from MAE, MSE, and MAPE

TrainValidateShare

The value returned from TimeSeriesPrepare()

NumCores

Default of max(1L, min(4L, parallel::detectCores())). Up to 4 cores can be utilized.

Value

Time series data sets to pass onto auto modeling functions

See Also

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

Examples

# NOT RUN {
ParallelAutoTBATS(
  MetricSelection = "MAE",
  Output = NULL,
  TrainValidateShare = c(0.50,0.50),
  NumCores = max(1L, min(4L, parallel::detectCores()-2L)))
# }