RemixAutoML (version 0.5.0)

FakeDataGenerator: FakeDataGenerator

Description

Create fake data for examples

Usage

FakeDataGenerator(
  Correlation = 0.7,
  N = 1000L,
  ID = 5L,
  FactorCount = 2L,
  AddDate = TRUE,
  AddComment = FALSE,
  ZIP = 5L,
  TimeSeries = FALSE,
  TimeSeriesTimeAgg = "day",
  ChainLadderData = FALSE,
  Classification = FALSE,
  MultiClass = FALSE
)

Arguments

Correlation

Set the correlation value for simulated data

N

Number of records

ID

Number of IDcols to include

FactorCount

Number of factor type columns to create

AddDate

Set to TRUE to include a date column

AddComment

Set to TRUE to add a comment column

ZIP

Zero Inflation Model target variable creation. Select from 0 to 5 to create that number of distinctly distributed data, stratifed from small to large

TimeSeries

For testing AutoBanditSarima

TimeSeriesTimeAgg

Choose from "1min", "5min", "10min", "15min", "30min", "hour", "day", "week", "month", "quarter", "year",

ChainLadderData

Set to TRUE to return Chain Ladder Data for using AutoMLChainLadderTrainer

Classification

Set to TRUE to build classification data

MultiClass

Set to TRUE to build MultiClass data

See Also

Other Data Wrangling: ColumnSubsetDataTable(), DataDisplayMeta(), FullFactorialCatFeatures(), IntermittentDemandScoringDataGenerator(), TimeSeriesMelt()

Examples

# NOT RUN {
data <- RemixAutoML::FakeDataGenerator(
   Correlation = 0.70,
   N = 1000L,
   ID = 2L,
   FactorCount = 2L,
   AddDate = TRUE,
   AddComment = FALSE,
   ZIP = 2L,
   TimeSeries = FALSE,
   ChainLadderData = FALSE,
   Classification = FALSE,
   MultiClass = FALSE)
# }