This dataset contains two functional covariates and one scalar covariate. The goal is to predict the heat value of some fuel based on the ultraviolet radiation spectrum and infrared ray radiation and one scalar column called h2o.
This is a subset of the full dataset, which is contained in the package FDboost.
R6::R6Class inheriting from mlr3::TaskRegr.
This Task can be instantiated via the dictionary mlr_tasks or with the associated sugar function tsk():
mlr_tasks$get("fuel")
tsk("fuel")
Task type: “regr”
Dimensions: 129x4
Properties: -
Has Missings: FALSE
Target: “heatan”
Features: “NIR”, “UVVIS”, “h20”
Brockhaus, Sarah, Scheipl, Fabian, Hothorn, Torsten, Greven, Sonja (2015). “The functional linear array model.” Statistical Modelling, 15(3), 279--300.
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_phoneme