Package: daltoolboxdp 1.0.777

Eduardo Ogasawara

daltoolboxdp: Data Pre-Processing Extensions

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>.

Authors:Eduardo Ogasawara [aut, ths, cre], Federal Center for Technological Education of Rio de Janeiro [cph]

daltoolboxdp_1.0.777.tar.gz
daltoolboxdp_1.0.777.tar.gz(r-4.5-noble)daltoolboxdp_1.0.777.tar.gz(r-4.4-noble)
daltoolboxdp_1.0.777.tgz(r-4.4-emscripten)daltoolboxdp_1.0.777.tgz(r-4.3-emscripten)
daltoolboxdp.pdf |daltoolboxdp.html
daltoolboxdp/json (API)

# Install 'daltoolboxdp' in R:
install.packages('daltoolboxdp', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/cefet-rj-dal/daltoolboxdp/issues

Uses libs:
  • openjdk– OpenJDK Java runtime, using Hotspot JIT

openjdk

2.08 score 12 scripts 243 downloads 7 exports 127 dependencies

Last updated 26 days agofrom:f7ce7c0d07. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 04 2024
R-4.5-linuxOKDec 04 2024

Exports:bal_oversamplingbal_subsamplingfsfs_fssfs_igfs_lassofs_relief

Dependencies:backportsbitopsbootbroomcaretcaToolsclasscliclockclustercodetoolscolorspacecowplotcpp11curldaltoolboxdata.tabledbscanDerivdiagramdigestdoBydplyre1071elmNNRcppentropyfansifarverFNNforeachforecastfracdiffFSelectorfuturefuture.applygenericsggplot2glmnetglobalsgluegowergplotsgtablegtoolshardhathereigraphipredisobanditeratorsjsonliteKernelKnnKernSmoothlabelinglatticelavaleapslifecyclelistenvlmtestlubridatemagrittrMASSMatrixmgcvmicrobenchmarkMLmetricsModelMetricsmodelrmunsellnlmennetnumDerivparallellypillarpkgconfigplyrpngpROCprodlimprogressrproxypurrrquadprogquantmodR6randomForestrappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppTOMLrecipesreshapereshape2reticulaterJavarlangROCRrpartrprojrootRWekaRWekajarsscalesshapesmotefamilySQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetreetseriesTTRtzdburcautf8vctrsviridisLitewithrxtszoo