All functions

add_attributes()

Add attribute values to an existing element in a given PMML file.

add_data_field_attributes()

Add attribute values to an existing DataField element in a given PMML file

add_data_field_children()

Add 'Interval' and 'Value' child elements to a given DataField element in a given PMML file.

add_mining_field_attributes()

Add attribute values to an existing MiningField element in a given PMML file.

add_output_field()

Add Output nodes to a PMML object.

audit

Audit: artificially constructed dataset

file_to_xml_node()

Read in a file and parse it into an object of type XMLNode.

function_to_pmml()

Convert an R expression to PMML.

houseVotes84

Modified 1984 United States Congressional Voting Records Database

make_intervals()

Create Interval elements, most likely to add to a DataDictionary element.

make_output_nodes()

Add Output nodes to a PMML object.

make_values()

Create Values element, most likely to add to a DataDictionary element.

pmml(<ARIMA>)

Generate PMML for an ARIMA object the forecast package.

pmml()

Generate the PMML representation for R objects.

pmml(<ada>)

Generate the PMML representation for an ada object from the package ada.

pmml(<coxph>)

Generate the PMML representation for a coxph object from the package survival.

pmml(<cv.glmnet>)

Generate the PMML representation for a cv.glmnet object from the package glmnet.

pmml(<gbm>)

Generate the PMML representation for a gbm object from the package gbm.

pmml(<glm>)

Generate the PMML representation for a glm object from the package stats.

pmml(<hclust>)

Generate the PMML representation for a hclust object from the package amap.

pmml(<iForest>)

Generate PMML for an iForest object from the isofor package.

pmml(<kmeans>)

Generate the PMML representation for a kmeans object from the package stats.

pmml(<ksvm>)

Generate the PMML representation for a ksvm object from the package kernlab.

pmml(<lm>)

Generate the PMML representation for an lm object from the package stats.

pmml(<multinom>)

Generate the PMML representation for a multinom object from package nnet.

pmml(<naiveBayes>)

Generate the PMML representation for a naiveBayes object from the package e1071.

pmml(<neighbr>)

Generate PMML for a neighbr object from the neighbr package.

pmml(<nnet>)

Generate the PMML representation for a nnet object from package nnet.

pmml(<randomForest>)

Generate the PMML representation for a randomForest object from the package randomForest.

pmml(<rfsrc>)

Generate the PMML representation for an rfsrc object from the package randomForestSRC.

pmml(<rpart>)

Generate the PMML representation for an rpart object from the package rpart.

pmml(<rules>)

Generate the PMML representation for a rules or an itemset object from package arules.

pmml(<svm>)

Generate the PMML representation of an svm object from the e1071 package.

pmml(<xgb.Booster>)

Generate PMML for a xgb.Booster object from the package xgboost.

rename_wrap_var()

Rename a variable in the xform_wrap transform object.

save_pmml()

Save a pmml object as an external PMML file.

xform_discretize()

Discretize a continuous variable as indicated by interval mappings in accordance with the PMML element Discretize.

xform_function()

Add a function transformation to a xform_wrap object.

xform_map()

Implement a map between discrete values in accordance with the PMML element MapValues.

xform_min_max()

Normalize continuous values in accordance with the PMML element NormContinuous.

xform_norm_discrete()

Normalize discrete values in accordance with the PMML element NormDiscrete.

xform_wrap()

Wrap data in a data transformations object.

xform_z_score()

Perform a z-score normalization on continuous values in accordance with the PMML element NormContinuous.