getMlrTask: Generate an mlr task from Census KDD data set (+variation)

In SPOTMisc: Misc Extensions for the 'SPOT' Package

Generate an mlr task from Census KDD data set (+variation)

Description

Prepares the Census data set for mlr. Performs imputation via: factor = imputeMode(), integer = imputeMedian(), numeric = imputeMean()

Usage

getMlrTask(dataset, task.type = "classif", data.seed = 1)

Arguments

dataset	census data set
task.type	character, either "classif" or "regr".
data.seed	seed

Value

an mlr task with the respective data set. Generated with makeClassifTask or makeRegrTask for classification and regression repectively.

See Also

getDataCensus

Examples

## Example downloads OpenML data, might take some time:
x <- getDataCensus(
task.type="classif",
nobs = 1e3,
nfactors = "high",
nnumericals = "high",
cardinality = "high",
data.seed=1,
cachedir= "oml.cache",
target = "age")

taskdata <- getMlrTask(
dataset = x,
task.type = "classif",
data.seed = 1)

SPOTMisc documentation built on Sept. 5, 2022, 5:06 p.m.