Package: tidyrules 0.2.7

Srikanth Komala Sheshachala

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:Srikanth Komala Sheshachala [aut, cre], Amith Kumar Ullur Raghavendra [aut]

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'))

Peer review:

Bug tracker:https://github.com/talegari/tidyrules/issues

11 exports 0.09 score 69 dependencies 591 downloads

Last updated 6 days agofrom:d5de3f799c

Exports:as_rulelistas_rulesetaugmentcalculateconvert_rule_flavorprunereorderset_keysset_validation_datatidyto_sql_case

Dependencies:askpassbackportsbootcellrangercheckmateclassclicolorspacecpp11crayoncurldata.tableDescToolse1071ExactexpmfansifarverFormulagenericsgldgluegtablehmshttrinumjsonlitelabelinglatticelibcoinlifecyclelmommagrittrMASSMatrixMetricsWeightedmimemunsellmvtnormopensslpartykitpheatmappillarpkgconfigprettyunitsprogressproxypurrrR6RColorBrewerRcppreadxlrematchrlangrootSolverpartrstudioapiscalesstringistringrsurvivalsystibbletidyselecttidytableutf8vctrsviridisLitewithr