RemixAutoML (version 0.11.0)

AutoH2oGBMFreqSizeScoring: AutoH2oGBMFreqSizeScoring is for scoring the models build with AutoH2oGBMSizeFreqDist()

Description

AutoH2oGBMFreqSizeScoring is for scoring the models build with AutoH2oGBMSizeFreqDist(). It will return the predicted values for every quantile model for both distributions for 1 to the max forecast periods you provided to build the scoring data.

Usage

AutoH2oGBMFreqSizeScoring(ScoringData, TargetColumnNames = NULL,
  CountQuantiles = seq(0.1, 0.9, 0.1), SizeQuantiles = seq(0.1, 0.9,
  0.1), ModelPath = NULL, ModelIDs = c("CountModel", "SizeModel"),
  JavaOptions = "-Xmx1g -XX:ReservedCodeCacheSize=256m",
  KeepFeatures = TRUE)

Arguments

ScoringData

The scoring data returned from IntermittentDemandScoringDataGenerator()

TargetColumnNames

A character or numeric vector of the target names. E.g. c("Counts","TARGET_qty")

CountQuantiles

A numerical vector of the quantiles used in model building

SizeQuantiles

A numerical vector of the quantiles used in model building

ModelPath

The path file to where you models were saved

ModelIDs

The ID's used in model building

JavaOptions

For mojo scoring '-Xmx1g -XX:ReservedCodeCacheSize=256m',

KeepFeatures

Set to TRUE to return the features with the predicted values

Value

Returns a list of CountData scores, SizeData scores, along with count and size prediction column names

See Also

Other Automated Time Series: AutoCatBoostCARMA, AutoCatBoostFreqSizeScoring, AutoCatBoostSizeFreqDist, AutoH2oDRFCARMA, AutoH2oGBMCARMA, AutoH2oGBMSizeFreqDist, AutoTS, AutoXGBoostCARMA, ID_Forecast, ID_SingleLevelGibbsSampler, IntermittentDemandScoringDataGenerator

Examples

# NOT RUN {
FinalData <- AutoH2oGBMFreqSizeScoring(
  ScoringData,
  TargetColumnNames = c("Counts","TARGET_qty"),
  CountQuantiles = seq(0.10,0.90,0.10), 
  SizeQuantiles = seq(0.10,0.90,0.10),
  ModelPath = getwd(),
  ModelIDs = c("CountModel","SizeModel"),
  JavaOptions = '-Xmx1g -XX:ReservedCodeCacheSize=256m',
  KeepFeatures = TRUE)
# }