The task contains a single functional covariate and 5 equally big classes (aa, ao, dcl, iy, sh).
The aim is to predict the class of the phoneme in the functional, which is a
log-periodogram.
This is a subset of the full dataset, which is contained in the package fda.usc
.
Format
R6::R6Class inheriting from mlr3::TaskClassif.
Dictionary
This Task can be instantiated via the dictionary mlr_tasks or with the associated sugar function tsk():
Meta Information
Task type: “classif”
Dimensions: 250x2
Properties: “multiclass”
Has Missings:
FALSE
Target: “class”
Features: “X”
References
Ferraty, Frédric, Vieu, Philippe (2003). “Curves discrimination: a nonparametric functional approach.” Computational Statistics & Data Analysis, 44(1-2), 161–173.
See also
Chapter in the mlr3book: https://mlr3book.mlr-org.com/chapters/chapter2/data_and_basic_modeling.html
Package mlr3data for more toy tasks.
Package mlr3oml for downloading tasks from https://www.openml.org.
Package mlr3viz for some generic visualizations.
Dictionary of Tasks: mlr_tasks
as.data.table(mlr_tasks)
for a table of available Tasks in the running session (depending on the loaded packages).mlr3fselect and mlr3filters for feature selection and feature filtering.
Extension packages for additional task types:
Unsupervised clustering: mlr3cluster
Probabilistic supervised regression and survival analysis: https://mlr3proba.mlr-org.com/.
Other Task:
mlr_tasks_dti
,
mlr_tasks_fuel