Package: fmf 1.1.1
fmf: Fast Class Noise Detector with Multi-Factor-Based Learning
A fast class noise detector which provides noise score for each observations. The package takes advantage of 'RcppArmadillo' to speed up the calculation of distances between observations.
Authors:
fmf_1.1.1.tar.gz
fmf_1.1.1.zip(r-4.5)fmf_1.1.1.zip(r-4.4)fmf_1.1.1.zip(r-4.3)
fmf_1.1.1.tgz(r-4.4-x86_64)fmf_1.1.1.tgz(r-4.4-arm64)fmf_1.1.1.tgz(r-4.3-x86_64)fmf_1.1.1.tgz(r-4.3-arm64)
fmf_1.1.1.tar.gz(r-4.5-noble)fmf_1.1.1.tar.gz(r-4.4-noble)
fmf_1.1.1.tgz(r-4.4-emscripten)fmf_1.1.1.tgz(r-4.3-emscripten)
fmf.pdf |fmf.html✨
fmf/json (API)
| # Install 'fmf' in R: |
| install.packages('fmf', repos = c('https://zheng-ww.r-universe.dev', 'https://cloud.r-project.org')) |
- australian - Australian Credit Approval
- iris - Iris Data Set
- ozone - Ozone Level Detection Data Set
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:2f4f71ce05. Checks:OK: 1 NOTE: 8. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 06 2024 |
| R-4.5-win-x86_64 | NOTE | Nov 06 2024 |
| R-4.5-linux-x86_64 | NOTE | Nov 06 2024 |
| R-4.4-win-x86_64 | NOTE | Nov 06 2024 |
| R-4.4-mac-x86_64 | NOTE | Nov 06 2024 |
| R-4.4-mac-aarch64 | NOTE | Nov 06 2024 |
| R-4.3-win-x86_64 | NOTE | Nov 06 2024 |
| R-4.3-mac-x86_64 | NOTE | Nov 06 2024 |
| R-4.3-mac-aarch64 | NOTE | Nov 06 2024 |
Exports:fmfnormalizationplottuning
Dependencies:abindbackportsbase64encbootbroombslibC50cachemcarcarDatacaretclasscliclockclustercodetoolscolorspacecorrplotcowplotcpp11crosstalkCubistdata.tabledendextendDerivdiagramdigestdoBydplyrDTe1071ellipseemmeansestimabilityevaluatefactoextraFactoMineRfansifarverfastmapflashClustfontawesomeforeachFormulafsfuturefuture.applygenericsggplot2ggpubrggrepelggsciggsignifglobalsgluegowergridExtragtablehardhathighrhtmltoolshtmlwidgetshttpuvigraphinumipredisobanditeratorsjquerylibjsonlitekernlabKernSmoothknitrlabelinglaterlatticelavalazyevalleapslgrlibcoinlifecyclelistenvlme4lubridatemagrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqaModelMetricsmodelrmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivparallellypartykitpbkrtestpillarpkgconfigplyrpolynompROCprodlimprogressrpromisesproxypurrrquantregR6rangerrappdirsRColorBrewerRcppRcppArmadilloRcppEigenrecipesreshape2rlangrmarkdownrpartrstatixsassscalesscatterplot3dshapesolitudeSparseMSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetinytextzdbutf8vctrsviridisviridisLitewithrxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Australian Credit Approval | australian |
| Fast Class Noise Detector with Multi-Factor-Based Learning | fmf fmf.default fmf.formula |
| Iris Data Set | iris |
| The Max-Min Normalization | normalization |
| Ozone Level Detection Data Set | ozone |
| PCA Plot of the Noise Score of Each Individual | plot |
| Tuning For Fast Class Noise Detector with Multi-Factor-Based Learning | tuning tuning.default tuning.formula |
