Summarizes a data.frame, somewhat differently than the normal <code><a href="/link/summary?package=mlr&version=2.3" rd-options="" data-mini-rdoc="mlr::summary">summary</a></code> function of R.
The function is mainly useful as a basic EDA tool on data.frames before they are converted to tasks,
but can be used on tasks as well.<p></p><p>Columns can be of type numeric, integer, logical, factor, or character.
Characters and logicals will be treated as factors.</p>

summarizeColumns

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.

summarizeColumns: Summarize columns of data.frame or task.

Description

Usage

Arguments

Value

See Also

Examples