mlr_tasks_iris

A classification task for the popular <a rd-options="datasets:iris" href="/link/datasets%3A%3Airis?package=mlr3&version=0.2.0&to=datasets%3Airis" data-mini-rdoc="datasets:iris::datasets::iris">datasets::iris</a> data set.

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

mlr_tasks_iris function

<a rd-options="R6:R6Class" href="/link/R6%3A%3AR6Class?package=mlr3&version=0.2.0&to=R6%3AR6Class" data-mini-rdoc="R6:R6Class::R6::R6Class">R6::R6Class</a> inheriting from <a rd-options="" href="/link/TaskClassif?package=mlr3&version=0.2.0" data-mini-rdoc="mlr3::TaskClassif">TaskClassif</a>.

Format

<pre>mlr_tasks$get("iris")
tsk("iris")
</pre>

Construction

A classification task for the popular <a rd-options='datasets:iris' href='datasets::iris'>datasets::iris</a> data set.

Iris Classification Task — mlr_tasks_iris

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

mlr_tasks_iris: Iris Classification Task

Description

Arguments

Format

Construction

See Also