Package: tidyrules 0.2.7
tidyrules:Utilities to Retrieve Rulelists from Model Fits, Filter, Prune, Reorder and Predict on Unseen Data
Provides a framework to work with decision rules. Rules can be extracted from supported models, augmented with (custom) metrics using validation data, manipulated using standard dataframe operations, reordered and pruned based on a metric, predict on unseen (test) data. Utilities include; Creating a rulelist manually, Exporting a rulelist as a SQL case statement and so on. The package offers two classes; rulelist and ruleset based on dataframe.
Authors:
tidyrules_0.2.7.tar.gz
tidyrules_0.2.7.tar.gz(r-4.5-noble)tidyrules_0.2.7.tar.gz(r-4.4-noble)
tidyrules_0.2.7.tgz(r-4.4-emscripten)tidyrules_0.2.7.tgz(r-4.3-emscripten)
tidyrules.pdf |tidyrules.html✨
tidyrules/json (API)
NEWS
# Installtidyrules in R: |
install.packages('tidyrules',repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/talegari/tidyrules/issues
Last updated 6 days agofrom:d5de3f799c
Exports:as_rulelistas_rulesetaugmentcalculateconvert_rule_flavorprunereorderset_keysset_validation_datatidyto_sql_case
Dependencies:askpassbackportsbootcellrangercheckmateclassclicolorspacecpp11crayoncurldata.tableDescToolse1071ExactexpmfansifarverFormulagenericsgldgluegtablehmshttrinumjsonlitelabelinglatticelibcoinlifecyclelmommagrittrMASSMatrixMetricsWeightedmimemunsellmvtnormopensslpartykitpheatmappillarpkgconfigprettyunitsprogressproxypurrrR6RColorBrewerRcppreadxlrematchrlangrootSolverpartrstudioapiscalesstringistringrsurvivalsystibbletidyselecttidytableutf8vctrsviridisLitewithr