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RemixAutoML (version 0.4.2)

Regular_Performance: Regular_Performance creates and stores model results in Experiment Grid

Description

Regular_Performance creates and stores model results in Experiment Grid

Usage

Regular_Performance(
  Model = NULL,
  Results = Results,
  GridList = GridList,
  TrainValidateShare = c(0.5, 0.5),
  ExperimentGrid = ExperimentGrid,
  run = run,
  train = train,
  ValidationData = ValidationData,
  HoldOutPeriods = HoldOutPeriods
)

Arguments

Model

Set to ets, tbats, arfima, tslm, nnetar

Results

This is a time series model

GridList

List

TrainValidateShare

The values used to blend training and validation performance

ExperimentGrid

The results collection table

run

Iterator

train

Data set

ValidationData

Data set

HoldOutPeriods

Passthrough

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(), RL_Performance(), StackedTimeSeriesEnsembleForecast(), TimeSeriesDataPrepare(), WideTimeSeriesEnsembleForecast()