joinClassLevels

[<code><a rd-options="" href="/link/Task?package=mlr&version=2.10" data-mini-rdoc="mlr::Task">Task</a></code>]
The task.

task

[<code>list</code> of <code>character</code>]
Element names specify the new class levels to create, while the corresponding element
character vector specifies the existing class levels which will be joined to the new one.

new.levels

Join some class existing levels to new, larger class levels for classification problems.

Interface to a large number of classification and regression
techniques, including machine-readable parameter descriptions. There is
also an experimental extension for survival analysis, clustering and
general, example-specific cost-sensitive learning. Generic resampling,
including cross-validation, bootstrapping and subsampling. Hyperparameter
tuning with modern optimization techniques, for single- and multi-objective
problems. Filter and wrapper methods for feature selection. Extension of
basic learners with additional operations common in machine learning, also
allowing for easy nested resampling. Most operations can be parallelized.

Bernd Bischl

Machine Learning in R

joinClassLevels function

[<code><a rd-options='' href='Task'>Task</a></code>]
The task.

joinClassLevels: Join some class existing levels to new, larger class levels for classification problems.

Description

Usage

Arguments

Value

Examples