Extends the 'mlr3' ecosystem to functional analysis by adding support for irregular and regular functional data as defined in the 'tf' package. The package provides 'PipeOps' for preprocessing functional columns and for extracting scalar features, thereby allowing standard machine learning algorithms to be applied afterwards. Available operations include simple functional features such as the mean or maximum, smoothing, interpolation, flattening, and functional 'PCA'.
Version: 0.2.0 Depends: mlr3 (≥ 0.14.0), mlr3pipelines (≥ 0.5.2), R (≥ 3.1.0) Imports: checkmate, data.table, lgr, mlr3misc (≥ 0.14.0), paradox, R6, tf (≥ 0.3.4) Suggests: rpart, testthat (≥ 3.0.0), withr Published: 2024-07-22 DOI: 10.32614/CRAN.package.mlr3fda Author: Sebastian Fischer [aut, cre], Maximilian Mücke [aut], Fabian Scheipl [ctb], Bernd Bischl [ctb] Maintainer: Sebastian Fischer <sebf.fischer at gmail.com> BugReports: https://github.com/mlr-org/mlr3fda/issues License: LGPL-3 URL: https://mlr3fda.mlr-org.com, https://github.com/mlr-org/mlr3fda NeedsCompilation: no Materials: README NEWS In views: FunctionalData CRAN checks: mlr3fda results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=mlr3fda to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4