RemixAutoML (version 0.4.2)

ID_MetadataGenerator: ID_MetadataGenerator for summary metadata for transactional data

Description

ID_MetadataGenerator for summary metadata for transactional data. The data returned from this function feeds into the IntermittentDemandBootStrapper() function.

Usage

ID_MetadataGenerator(
  data,
  RestrictDateRange = TRUE,
  DateVariableName = NULL,
  GroupingVariables = NULL,
  MinTimeWindow = 1L,
  MinTxnRecords = 2L,
  DateInterval = "day"
)

Arguments

data

This is your transactional level data

RestrictDateRange

= TRUE

DateVariableName

Bla

GroupingVariables

Bla

MinTimeWindow

The number of time periods you would like to omit for training. Default is 1 so that at a minimum, there is at least one period of values to forecast. You can set it up to a larger value if you do not want more possible target windows for the lower target window values.

MinTxnRecords

I typically set this to 2 so that there is at least one other instance of demand so that the forecasted values are not complete nonsense.

DateInterval

This is the time unit for determining date calculations

Value

Returns a data.table with summary information for the IntermittentDemandBootStrapper() function.

See Also

Other Feature Engineering Helper: AutoFourierFeatures(), ID_BuildTrainDataSets(), ID_TrainingDataGenerator2(), ID_TrainingDataGenerator()

Examples

# NOT RUN {
# Generate Metadata----
MetaData <- ID_MetadataGenerator(
  data = data,
  RestrictDateRange = TRUE,
  DateVariableName = DateVariableName,
  GroupingVariables = GroupingVariables,
  MinTimeWindow = MinTimeWindow,
  MinTxnRecords = MinTxnRecords,
  DateInterval = TimeUnit,
  TimeUnit = TimeUnit
)
# }