Convert R Models to 'PMML'
Generates an XGBoost feature map based on feature data.
Generates an XGBoost feature map based on feature data.
Dispatches execution to the most appropriate XGBoost feature map gener...
Converts a "glm" object to a "scorecard" object.
Decorates a model object with "preProcess" and "pmml_options" elements...
Decorates an "earth" object with an "xlevels" element.
Decorates an "elm" object with a "model" element.
Decorates a "glmnet" object with a "lambda.s" element.
Decorates a "party" object with a "predicted" element.
Decorates a "randomForest" object with PMML conversion options.
Decorates a "ranger" object with a "variable.levels" element.
Dispatches execution to the most appropriate model decoration function...
Decorates a "svm.formula" object with an "xlevels" element.
Decorates the final model of a "train" object with model type-dependen...
Decorates a "WrappedModel" object with "invert_levels" element. Additi...
Decorates an "xgb.Booster" object with "fmap", "schema", "ntreelimit" ...
Converts an R model object to PMML.
Enhances a model object with verification data.
Enhances a "glm" object with verification data.
Dispatches execution to the most appropriate model verification functi...
Enhances a "train" object with verification data.
Enhances an "xgb.Booster" object with verification data.
Writes XGBoost feature map to a file.
R wrapper for the 'JPMML-R' library <https://github.com/jpmml/jpmml-r>, which converts R models to Predictive Model Markup Language ('PMML').