mergeSmallFactorLevels

[<code><a rd-options="" href="/link/Task?package=mlr&version=2.9" data-mini-rdoc="mlr::Task">Task</a></code>]
The task.

task

[<code>character</code>]
Which columns to convert.
Default is all factor and character columns.

cols

[<code>numeric(1)</code>]
The smallest levels of a factor are merged until their combined proportion
w.r.t. the length of the factor exceeds <code>min.perc</code>.
Must be between 0 and 1.
Default is 0.01.

min.perc

[<code>character(1)</code>]
New name of merged level.
Default is &#147;.merged&#148;

new.level


Merges factor levels that occur only infrequently into combined levels with a higher frequency.


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.

mergeSmallFactorLevels: Merges small levels of factors into new level.

Description

Usage

Arguments

Value

See Also