default_fallback

default_fallback.Learner

default_fallback.LearnerClassif

default_fallback.LearnerRegr

Create a fallback learner for a given learner.
The function searches for a suitable fallback learner based on the task type.
Additional checks are performed to ensure that the fallback learner supports the predict type.

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.

Marc Becker

mlr3

Machine Learning in R - Next Generation

Michel Lang

Bernd Bischl

Jakob Richter

Patrick Schratz

Giuseppe Casalicchio

Stefan Coors

Quay Au

Martin Binder

Florian Pfisterer

Raphael Sonabend

Lennart Schneider

Sebastian Fischer

Lona Koers

John Zobolas

default_fallback function

<dl><dt>learner</dt>
<dd>Learner 
The learner for which a fallback learner should be created.</dd>
<dt>...</dt>
<dd><code>any</code> 
ignored.</dd></dl>

Arguments

Create a Fallback Learner — default_fallback

<dl>

<dt>learner</dt>
<dd>Learner 
The learner for which a fallback learner should be created.</dd>


<dt>...</dt>
<dd><code>any</code> 
ignored.</dd>

</dl>

Create a Fallback Learner

default_fallback: Create a Fallback Learner

Description

Usage

Value

Arguments