Package index • pmml

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(<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(<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.