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=0.2.0&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("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