auto_convert

(<code>any</code>)
New values to convert in order to match <code>type</code>.

value

(<code>character(1)</code>)
Name of the column, used in error messages.

(<code>character(1)</code>)
Type to convert <code>values</code> to.

type

(<code>character()</code> | <code>NULL</code>)
Levels to use for conversion to <code>factor</code> or <code>ordered</code>.

levels

Set of rules to automatically convert column types.
This is used during <code>rbind</code>-ing of <a rd-options="" href="/link/Task?package=mlr3&version=0.3.0" data-mini-rdoc="mlr3::Task">Task</a>s, but also in some pipe operators in
mlr3pipelines.
All rules are stored as functions in <a rd-options="=mlr_reflections" href="/link/mlr_reflections%24auto_converters?package=mlr3&version=0.3.0&to=%3Dmlr_reflections" data-mini-rdoc="=mlr_reflections::mlr_reflections$auto_converters">mlr_reflections$auto_converters</a>.

internal

Efficient, object-oriented programming on the
building blocks of machine learning. Provides 'R6' objects for tasks,
learners, resamplings, and measures. The package is geared towards
scalability and larger datasets by supporting parallelization and
out-of-memory data-backends like databases. While 'mlr3' focuses on
the core computational operations, add-on packages provide additional
functionality.

Michel Lang

mlr3

Machine Learning in R - Next Generation

Bernd Bischl

Jakob Richter

Patrick Schratz

Giuseppe Casalicchio

Stefan Coors

Quay Au

Martin Binder

auto_convert function

Set of rules to automatically convert column types.
This is used during <code>rbind</code>-ing of <a rd-options='' href='Task'>Task</a>s, but also in some pipe operators in
mlr3pipelines.
All rules are stored as functions in <a rd-options='=mlr_reflections' href='mlr_reflections$auto_converters'>mlr_reflections$auto_converters</a>.

auto_convert: Column Auto-Converter

Description

Usage

Arguments

Value