mlr_tasks_phoneme {mlr3fda}

Phoneme Classification Task

Description

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():

mlr_tasks$get("phoneme")
tsk("phoneme")

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