RemixAutoML (version 0.11.0)

AutoCatBoostFreqSizeScoring: AutoCatBoostFreqSizeScoring is for scoring the models build with AutoCatBoostSizeFreqDist()

Description

AutoCatBoostFreqSizeScoring is for scoring the models build with AutoCatBoostSizeFreqDist(). 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

AutoCatBoostFreqSizeScoring(ScoringData, TargetColumnNames = NULL,
  FeatureColumnNames = NULL, IDcols = NULL, CountQuantiles = seq(0.1,
  0.9, 0.1), SizeQuantiles = seq(0.1, 0.9, 0.1), ModelPath = NULL,
  ModelIDs = c("CountModel", "SizeModel"), 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")

FeatureColumnNames

A character vector of column names or column numbers

IDcols

ID columns you want returned with the data that is not a model feature

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

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, AutoCatBoostSizeFreqDist, AutoH2oDRFCARMA, AutoH2oGBMCARMA, AutoH2oGBMFreqSizeScoring, AutoH2oGBMSizeFreqDist, AutoTS, AutoXGBoostCARMA, ID_Forecast, ID_SingleLevelGibbsSampler, IntermittentDemandScoringDataGenerator

Examples

# NOT RUN {
FinalData <- AutoCatBoostFreqSizeScoring(
  ScoringData,
  TargetColumnNames = c("Counts","TARGET_qty"),
  FeatureColumnNames = 1:ncol(ScoringData),
  IDcols = NULL,
  CountQuantiles = seq(0.10,0.90,0.10), 
  SizeQuantiles = seq(0.10,0.90,0.10),
  ModelPath = getwd(),
  ModelIDs = c("CountModel","SizeModel"),
  KeepFeatures = TRUE)
# }