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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 |
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 |
Reference manual: | mlr3fda.pdf |
Package source: | mlr3fda_0.2.0.tar.gz |
Windows binaries: | r-devel: mlr3fda_0.2.0.zip, r-release: mlr3fda_0.2.0.zip, r-oldrel: mlr3fda_0.2.0.zip |
macOS binaries: | r-release (arm64): mlr3fda_0.2.0.tgz, r-oldrel (arm64): mlr3fda_0.1.2.tgz, r-release (x86_64): mlr3fda_0.2.0.tgz, r-oldrel (x86_64): mlr3fda_0.1.2.tgz |
Old sources: | mlr3fda archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.