mlr_tasks_wine

Wine data set from the UCI machine learning repository (<a href="https://archive.ics.uci.edu/ml/datasets/wine">https://archive.ics.uci.edu/ml/datasets/wine</a>).
Results of a chemical analysis of three types of wines grown in the same region in Italy but derived from three different cultivars.

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_wine function

<a rd-options="R6:R6Class" href="/link/R6%3A%3AR6Class?package=mlr3&version=0.1.4&to=R6%3AR6Class" data-mini-rdoc="R6:R6Class::R6::R6Class">R6::R6Class</a> inheriting from <a rd-options="" href="/link/TaskClassif?package=mlr3&version=0.1.4" data-mini-rdoc="mlr3::TaskClassif">TaskClassif</a>.

Format

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

Construction

Wine data set from the UCI machine learning repository (<a href='https://archive.ics.uci.edu/ml/datasets/wine'>https://archive.ics.uci.edu/ml/datasets/wine</a>).
Results of a chemical analysis of three types of wines grown in the same region in Italy but derived from three different cultivars.

Wine Classification Task — mlr_tasks_wine

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

mlr_tasks_wine: Wine Classification Task

Description

Arguments

Format

Construction

References

See Also