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An important aspect of data analytics is related to data management support for artificial intelligence. It is related to preparing data correctly. This package provides extensions to support data preparation in terms of both data sampling and data engineering. Overall, the package provides researchers with a comprehensive set of functionalities for data science based on experiment lines, promoting ease of use, extensibility, and integration with various tools and libraries. Information on Experiment Line is based on Ogasawara et al. (2009) <doi:10.1007/978-3-642-02279-1_20>.
Version: | 1.0.767 |
Imports: | daltoolbox, leaps, FSelector, doBy, glmnet, smotefamily |
Published: | 2024-03-27 |
DOI: | 10.32614/CRAN.package.daltoolboxdp |
Author: | Eduardo Ogasawara |
Maintainer: | Eduardo Ogasawara <eogasawara at ieee.org> |
License: | MIT + file LICENSE |
URL: | https://github.com/cefet-rj-dal/daltoolboxdp |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | daltoolboxdp results |
Reference manual: | daltoolboxdp.pdf |
Package source: | daltoolboxdp_1.0.767.tar.gz |
Windows binaries: | r-devel: daltoolboxdp_1.0.767.zip, r-release: daltoolboxdp_1.0.767.zip, r-oldrel: daltoolboxdp_1.0.767.zip |
macOS binaries: | r-release (arm64): daltoolboxdp_1.0.767.tgz, r-oldrel (arm64): daltoolboxdp_1.0.767.tgz, r-release (x86_64): daltoolboxdp_1.0.767.tgz, r-oldrel (x86_64): daltoolboxdp_1.0.767.tgz |
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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.
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