Package: r2pmml 0.29.0

Villu Ruusmann

r2pmml: Convert R Models to PMML

R wrapper for the JPMML-R library <https://github.com/jpmml/jpmml-r>, which converts R models to Predictive Model Markup Language (PMML).

Authors:Villu Ruusmann [aut, cre]

r2pmml_0.29.0.tar.gz
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r2pmml.pdf |r2pmml.html✨
r2pmml/json (API)
NEWS

# Install 'r2pmml' in R:
install.packages('r2pmml', repos = c('https://jpmml.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/jpmml/r2pmml/issues

On CRAN:

5.95 score 73 stars 35 scripts 338 downloads 1 mentions 23 exports 0 dependencies

Last updated 13 days agofrom:f975a3efba. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-winOKNov 10 2024
R-4.5-linuxOKNov 10 2024
R-4.4-winOKNov 10 2024
R-4.4-macOKNov 10 2024
R-4.3-winOKNov 10 2024
R-4.3-macOKNov 10 2024

Exports:as.fmapas.fmap.data.frameas.fmap.matrixas.scorecarddecoratedecorate.defaultdecorate.earthdecorate.elmdecorate.glmnetdecorate.partydecorate.randomForestdecorate.rangerdecorate.svm.formuladecorate.traindecorate.WrappedModeldecorate.xgb.Boosterr2pmmlverifyverify.defaultverify.glmverify.trainverify.xgb.Boosterwrite.fmap

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Dispatches execution to the most appropriate XGBoost feature map generation function.as.fmap
Generates an XGBoost feature map based on feature data.as.fmap.data.frame
Generates an XGBoost feature map based on feature data.as.fmap.matrix
Converts a "glm" object to a "scorecard" object.as.scorecard
Dispatches execution to the most appropriate model decoration function.decorate
Decorates a model object with "preProcess" and "pmml_options" elements.decorate.default
Decorates an "earth" object with an "xlevels" element.decorate.earth
Decorates an "elm" object with a "model" element.decorate.elm
Decorates a "glmnet" object with a "lambda.s" element.decorate.glmnet
Decorates a "party" object with a "predicted" element.decorate.party
Decorates a "randomForest" object with PMML conversion options.decorate.randomForest
Decorates a "ranger" object with a "variable.levels" element.decorate.ranger
Decorates a "svm.formula" object with an "xlevels" element.decorate.svm.formula
Decorates the final model of a "train" object with model type-dependent elements.decorate.train
Decorates a "WrappedModel" object with "invert_levels" element. Additionally, decorates the learned model with model type-dependent elements.decorate.WrappedModel
Decorates an "xgb.Booster" object with "fmap", "schema", "ntreelimit" and "pmml_options" elements.decorate.xgb.Booster
Converts an R model object to PMML.r2pmml
Dispatches execution to the most appropriate model verification function.verify
Enhances a model object with verification data.verify.default
Enhances a "glm" object with verification data.verify.glm
Enhances a "train" object with verification data.verify.train
Enhances an "xgb.Booster" object with verification data.verify.xgb.Booster
Writes XGBoost feature map to a file.write.fmap