Package: FLR 1.0
FLR: Fuzzy Logic Rule Classifier
FLR algorithm for classification
Authors:
FLR_1.0.tar.gz
FLR_1.0.zip(r-4.5)FLR_1.0.zip(r-4.4)FLR_1.0.zip(r-4.3)
FLR_1.0.tgz(r-4.4-any)FLR_1.0.tgz(r-4.3-any)
FLR_1.0.tar.gz(r-4.5-noble)FLR_1.0.tar.gz(r-4.4-noble)
FLR_1.0.tgz(r-4.4-emscripten)FLR_1.0.tgz(r-4.3-emscripten)
FLR.pdf |FLR.html✨
FLR/json (API)
| # Install 'FLR' in R: |
| install.packages('FLR', repos = c('https://consmavr.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- dataset001 - Dataset001
- mat - Graph distance matrix
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 13 years agofrom:85eb67d1ad. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 15 2024 |
| R-4.5-win | NOTE | Oct 15 2024 |
| R-4.5-linux | NOTE | Oct 15 2024 |
| R-4.4-win | NOTE | Oct 15 2024 |
| R-4.4-mac | NOTE | Oct 15 2024 |
| R-4.3-win | NOTE | Oct 15 2024 |
| R-4.3-mac | NOTE | Oct 15 2024 |
Exports:accIscreateNframecreateNlistdenormDatadenormDatalfuzzyLatticecget.costget.cost2get.posindexCalcjoinnormDataprepDatasepFlagset_boundsspatdttestDtestNowthetatrainDtrainNowufunvaluationwinner.route
Dependencies:combinat
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Accuracy of FLR | accIs |
| dataset001 | dataset001 |
| Denormalize Fuzzy Lattices. | denormDatal |
| Constructs A Fuzzy Lattice | fuzzyLatticec |
| Index Calculator | indexCalc |
| Graph distance matrix | mat |
| Normalize Data and Denormalize data. | denormData normData |
| Prepare Dataset | prepData |
| Flags Instances | sepFlag |
| Creates A Boundaries File. | set_bounds |
| Spatial Data Handling | get.cost get.cost2 get.pos spatdt winner.route |
| Creates Testing And Training Samples | testD trainD |
| Testing Phase Of FLR | testNow |
| Training Phase Of FLR | createNframe createNlist join theta trainNow ufun valuation |
