convertPeirceDataSetToMlr: Convert an OpenML data set to mlr task.

In AlonFriedman01/Peirce--Theory-of-Signs: Peirce Theory of sign

Description

Converts an PeirceDataSet to a Task.

Usage

  convertPeirceDataSetTPeircer(obj, task.type = NULL,
                         target = obj$desc$default.target.attribute,
                         ignore.flagged.attributes = TRUE, drop.levels = TRUE, verbosity = NULL)

Arguments

obj	[PeirceDataSet] The object that should be converted.
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, 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 PeirceDataSetDescription.
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.
verbosity	[integer(1)] Print verbose output on console? Possible values are: 0: normal output, 1: info output, 2: debug output. Default is set via setPeirceConfig.

Value

[Task].

See Also

Other dataset related functions: PeirceDataSetDescription, PeirceDataSet, deletePeirceObject, getPeirceDataSet, listPeirceDataSets, tagPeirceObject, uploadPeirceDataSet

AlonFriedman01/Peirce--Theory-of-Signs documentation built on May 5, 2019, 4:55 a.m.