RemixAutoML (version 0.2.8)

ParallelAutoNNET: ParallelAutoNNET to run the 4 data sets at once

Description

ParallelAutoNNET to run the 4 data sets at once

Usage

ParallelAutoNNET(
  Output,
  MetricSelection = "MAE",
  MaxFourierTerms = 1,
  TrainValidateShare = c(0.5, 0.5),
  MaxNumberModels = 20,
  MaxRunMinutes = 5,
  MaxRunsWithoutNewWinner = 12
)

Arguments

Output

The output returned from TimeSeriesDataPrepare()

MetricSelection

Choose from MAE, MSE, and MAPE

MaxFourierTerms

Fourier pairs

TrainValidateShare

c(0.50,0.50)

MaxNumberModels

20

MaxRunMinutes

5

MaxRunsWithoutNewWinner

12

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(), ParallelAutoTBATS(), ParallelAutoTSLM(), PredictArima(), RL_Performance(), Regular_Performance(), StackedTimeSeriesEnsembleForecast(), TimeSeriesDataPrepare(), WideTimeSeriesEnsembleForecast()

Examples

# NOT RUN {
ParallelAutoNNET(
  MetricSelection = "MAE",
  Output = NULL,
  MaxRunsWithoutNewWinner = 20,
  TrainValidateShare = c(0.50,0.50),
  MaxNumberModels = 5,
  MaxRunMinutes = 5)
# }