Learn R Programming

RemixAutoML (version 0.2.8)

ParallelAutoETS: ParallelAutoETS

Description

ParallelAutoETS to run the 4 data sets at once

Usage

ParallelAutoETS(
  Output,
  MetricSelection = "MAE",
  TrainValidateShare = c(0.5, 0.5)
)

Arguments

Output

The output returned from TimeSeriesDataPrepare()

MetricSelection

Choose from MAE, MSE, and MAPE

TrainValidateShare

The value returned from TimeSeriesPrepare()

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

Examples

Run this code
# NOT RUN {
ParallelAutoETS(
  MetricSelection = "MAE",
  Output = NULL,
  TrainValidateShare = c(0.50,0.50))
# }

Run the code above in your browser using DataLab