convertOMLDataSetToMlr: Convert an OpenML data set to mlr task.

In OpenML: Open Machine Learning and Open Data Platform

Convert an OpenML data set to mlr task.

Description

Converts an OMLDataSet to a Task.

Usage

convertOMLDataSetToMlr(
  obj,
  mlr.task.id = "<oml.data.name>",
  task.type = NULL,
  target = obj$desc$default.target.attribute,
  ignore.flagged.attributes = TRUE,
  drop.levels = TRUE,
  fix.colnames = TRUE,
  verbosity = NULL
)

Arguments

obj	[OMLDataSet] The object that should be converted.
mlr.task.id	[character(1)] Id string for Task object. The strings <oml.data.name>, <oml.data.id> and <oml.data.version> will be replaced by their respective values contained in the OMLDataSet object. Default is <oml.data.name>.
task.type	[character(1)] As we only pass the data set, we need to define the task type manually. Possible are: “Supervised Classification”, “Supervised Regression”, “Survival Analysis”. Default is NULL which means to guess it from the target column in the data set. If that is a factor or a logical, we choose classification. If it is numeric we choose regression. In all other cases an error is thrown.
target	[character] The target for the classification/regression task. Default is the default.target.attribute of the OMLDataSetDescription.
ignore.flagged.attributes	[logical(1)] Should those features that are listed in the data set description slot “ignore.attribute” be removed? Default is TRUE.
drop.levels	[logical(1)] Should empty factor levels be dropped in the data? Default is TRUE.
fix.colnames	[logical(1)] Should colnames of the data be fixed using make.names? Default is TRUE.
verbosity	[integer(1)] Print verbose output on console? Possible values are: 0: normal output, 1: info output, 2: debug output. Default is set via setOMLConfig.

Value

[Task].

See Also

Other data set-related functions: OMLDataSetDescription, OMLDataSet, convertMlrTaskToOMLDataSet(), deleteOMLObject(), getOMLDataSet(), listOMLDataSets(), tagOMLObject(), uploadOMLDataSet()

Examples

# \dontrun{
# 	library("mlr")
# 	autosOML = getOMLDataSet(data.id = 9)
# 	autosMlr = convertOMLDataSetToMlr(autosOML)
# }

OpenML documentation built on Oct. 20, 2022, 1:07 a.m.