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FinalBuildTSLM to generate forecasts and ensemble data
FinalBuildTSLM( ModelOutputGrid = NULL, TimeSeriesPrepareOutput = NULL, FCPeriods = 1, MetricSelection = "MAE", NumberModelsScore = 1, ByDataType = TRUE )
Pass along the grid output from ParallelOptimzeArima()
Output from TimeSeriesPrepare()
The number of periods ahead to forecast
The value returned from TimeSeriesPrepare()
Set to TRUE if you want to have models represented from all data sets utilized in training
Time series data sets to pass onto auto modeling functions
Other Time Series Helper: FinalBuildArfima(), FinalBuildArima(), FinalBuildETS(), FinalBuildNNET(), FinalBuildTBATS(), GenerateParameterGrids(), OptimizeArfima(), OptimizeArima(), OptimizeETS(), OptimizeNNET(), OptimizeTBATS(), OptimizeTSLM(), ParallelAutoARIMA(), ParallelAutoArfima(), ParallelAutoETS(), ParallelAutoNNET(), ParallelAutoTBATS(), ParallelAutoTSLM(), PredictArima(), RL_Performance(), Regular_Performance(), StackedTimeSeriesEnsembleForecast(), TimeSeriesDataPrepare(), WideTimeSeriesEnsembleForecast()
FinalBuildArfima()
FinalBuildArima()
FinalBuildETS()
FinalBuildNNET()
FinalBuildTBATS()
GenerateParameterGrids()
OptimizeArfima()
OptimizeArima()
OptimizeETS()
OptimizeNNET()
OptimizeTBATS()
OptimizeTSLM()
ParallelAutoARIMA()
ParallelAutoArfima()
ParallelAutoETS()
ParallelAutoNNET()
ParallelAutoTBATS()
ParallelAutoTSLM()
PredictArima()
RL_Performance()
Regular_Performance()
StackedTimeSeriesEnsembleForecast()
TimeSeriesDataPrepare()
WideTimeSeriesEnsembleForecast()
# NOT RUN { FinalBuildTSLM( Output = NULL, TimeSeriesPrepareOutput = NULL, MaxFourierTerms = 0, TrainValidateShare = c(0.50,0.50), MaxNumberModels = 5, MaxRunMinutes = 5) # }
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