LearnerRegrFeatureless

mlr_learners_regr.featureless

A simple <a rd-options="" href="/link/LearnerRegr?package=mlr3&version=0.1.2" data-mini-rdoc="mlr3::LearnerRegr">LearnerRegr</a> which only analyses the response during train, ignoring all features.
If hyperparameter <code>robust</code> is <code>FALSE</code> (default), constantly predicts <code>mean(y)</code> as response
and <code>sd(y)</code> as standard error.
If <code>robust</code> is <code>TRUE</code>, <code>median()</code> and <code>madn()</code> are used instead of <code>mean()</code> and <code>sd()</code>,
respectively.

datasets

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

LearnerRegrFeatureless function

<a rd-options="R6:R6Class" href="/link/R6%3A%3AR6Class?package=mlr3&version=0.1.2&to=R6%3AR6Class" data-mini-rdoc="R6:R6Class::R6::R6Class">R6::R6Class</a> inheriting from <a rd-options="" href="/link/LearnerRegr?package=mlr3&version=0.1.2" data-mini-rdoc="mlr3::LearnerRegr">LearnerRegr</a>.

Format

<pre>LearnerRegrFeatureless$new()
mlr_learners$get("regr.featureless")
lrn("regr.featureless")
</pre>

Construction

A simple <a rd-options='' href='LearnerRegr'>LearnerRegr</a> which only analyses the response during train, ignoring all features.
If hyperparameter <code>robust</code> is <code>FALSE</code> (default), constantly predicts <code>mean(y)</code> as response
and <code>sd(y)</code> as standard error.
If <code>robust</code> is <code>TRUE</code>, <code>median()</code> and <code>madn()</code> are used instead of <code>mean()</code> and <code>sd()</code>,
respectively.

Featureless Regression Learner — LearnerRegrFeatureless

<a rd-options='R6:R6Class' href='R6::R6Class'>R6::R6Class</a> inheriting from <a rd-options='' href='LearnerRegr'>LearnerRegr</a>.

LearnerRegrFeatureless: Featureless Regression Learner

Description

Arguments

Format

Construction

See Also