Package: daltoolboxdp 1.0.767
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:
daltoolboxdp_1.0.767.tar.gz
daltoolboxdp_1.0.767.zip(r-4.5)daltoolboxdp_1.0.767.zip(r-4.4)daltoolboxdp_1.0.767.zip(r-4.3)
daltoolboxdp_1.0.767.tgz(r-4.4-any)daltoolboxdp_1.0.767.tgz(r-4.3-any)
daltoolboxdp_1.0.767.tar.gz(r-4.5-noble)daltoolboxdp_1.0.767.tar.gz(r-4.4-noble)
daltoolboxdp_1.0.767.tgz(r-4.4-emscripten)daltoolboxdp_1.0.767.tgz(r-4.3-emscripten)
daltoolboxdp.pdf |daltoolboxdp.html✨
daltoolboxdp/json (API)
| # Install 'daltoolboxdp' in R: |
| install.packages('daltoolboxdp', repos = c('https://cefet-rj-dal.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/cefet-rj-dal/daltoolboxdp/issues
Last updated 8 months agofrom:003b438335. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 04 2024 |
| R-4.5-win | OK | Nov 04 2024 |
| R-4.5-linux | OK | Nov 04 2024 |
| R-4.4-win | OK | Nov 04 2024 |
| R-4.4-mac | OK | Nov 04 2024 |
| R-4.3-win | OK | Nov 04 2024 |
| R-4.3-mac | OK | Nov 04 2024 |
Exports:bal_oversamplingbal_subsamplingfsfs_fssfs_igfs_lassofs_relief
Dependencies:backportsbitopsbootbroomcaretcaToolsclasscliclockclustercodetoolscolorspacecowplotcpp11curldaltoolboxdata.tabledbscanDerivdiagramdigestdoBydplyre1071elmNNRcppentropyfansifarverFNNforeachforecastfracdiffFSelectorfuturefuture.applygenericsggplot2glmnetglobalsgluegowergplotsgtablegtoolshardhathereigraphipredisobanditeratorsjsonliteKernelKnnKernSmoothlabelinglatticelavaleapslifecyclelistenvlmtestlubridatemagrittrMASSMatrixmgcvmicrobenchmarkMLmetricsModelMetricsmodelrmunsellnlmennetnumDerivparallellypillarpkgconfigplyrpngpROCprodlimprogressrproxypurrrquadprogquantmodR6randomForestrappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppTOMLrecipesreshapereshape2reticulaterJavarlangROCRrpartrprojrootRWekaRWekajarsscalesshapesmotefamilySQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetreetseriesTTRtzdburcautf8vctrsviridisLitewithrxtszoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Oversampling | bal_oversampling |
| Subsampling | bal_subsampling |
| Feature Selection | fs |
| Forward Stepwise Selection | fs_fss |
| Information Gain | fs_ig |
| Feature Selection using Lasso | fs_lasso |
| Relief | fs_relief |
